Triple
T11003317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation |
E260052
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
Association for Computational Linguistics
The Association for Computational Linguistics is a leading international scientific and professional organization dedicated to advancing research and development in natural language processing and computational linguistics.
|
E899029
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Association for Computational Linguistics | Statement: [Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation, publisher, Association for Computational Linguistics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Association for Computational Linguistics Context triple: [Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation, publisher, Association for Computational Linguistics]
-
A.
EMNLP
EMNLP (Empirical Methods in Natural Language Processing) is a leading annual conference in computational linguistics and natural language processing research.
-
B.
NAACL 2018
NAACL 2018 was a major computational linguistics conference where the influential ELMo deep contextualized word representation model was introduced.
-
C.
ACM Transactions on Asian and Low-Resource Language Information Processing
ACM Transactions on Asian and Low-Resource Language Information Processing is a peer-reviewed scholarly journal focusing on computational linguistics, natural language processing, and information processing for Asian and other low-resource languages.
-
D.
Center for the Study of Language and Information
The Center for the Study of Language and Information is a Stanford University-based interdisciplinary research center and academic publisher focused on linguistics, logic, cognitive science, and computational approaches to language and information.
-
E.
CSLI Publications
CSLI Publications is an academic publishing house associated with Stanford University's Center for the Study of Language and Information, specializing in linguistics, cognitive science, philosophy, and related fields.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Association for Computational Linguistics Triple: [Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation, publisher, Association for Computational Linguistics]
Generated description
The Association for Computational Linguistics is a leading international scientific and professional organization dedicated to advancing research and development in natural language processing and computational linguistics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Association for Computational Linguistics Target entity description: The Association for Computational Linguistics is a leading international scientific and professional organization dedicated to advancing research and development in natural language processing and computational linguistics.
-
A.
EMNLP
EMNLP (Empirical Methods in Natural Language Processing) is a leading annual conference in computational linguistics and natural language processing research.
-
B.
NAACL 2018
NAACL 2018 was a major computational linguistics conference where the influential ELMo deep contextualized word representation model was introduced.
-
C.
ACM Transactions on Asian and Low-Resource Language Information Processing
ACM Transactions on Asian and Low-Resource Language Information Processing is a peer-reviewed scholarly journal focusing on computational linguistics, natural language processing, and information processing for Asian and other low-resource languages.
-
D.
Center for the Study of Language and Information
The Center for the Study of Language and Information is a Stanford University-based interdisciplinary research center and academic publisher focused on linguistics, logic, cognitive science, and computational approaches to language and information.
-
E.
CSLI Publications
CSLI Publications is an academic publishing house associated with Stanford University's Center for the Study of Language and Information, specializing in linguistics, cognitive science, philosophy, and related fields.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797546f448190946ee6442d657dc5 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3453d181081908cb58a957f4d1295 |
completed | April 18, 2026, 8:47 a.m. |
| NEDg | Description generation | batch_69e35570b0bc8190a939b0c8e3ce8105 |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e359508a388190a16d48a17015e13e |
completed | April 18, 2026, 10:13 a.m. |
Created at: April 8, 2026, 9:25 p.m.