Triple
T95831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pascal |
E1927
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object |
Oberon
Oberon is a modular, type-safe systems programming language designed by Niklaus Wirth as a streamlined successor to Pascal and Modula-2, emphasizing simplicity and efficiency.
|
E14342
|
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: Oberon | Statement: [Pascal, influenced, Oberon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberon Context triple: [Pascal, influenced, Oberon]
-
A.
Alcyone
Alcyone is one of the Pleiades in Greek mythology, a daughter of the Titan Atlas and often associated with the star cluster of the same name.
-
B.
Sterope
Sterope is a figure from Greek mythology, traditionally considered one of the Pleiades and a daughter of the Titan Atlas.
-
C.
Merope
Merope is one of the Pleiades in Greek mythology, a daughter of Atlas and Pleione who became a star in the constellation Taurus.
-
D.
Maia
Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
-
E.
Celaeno
Celaeno is one of the Pleiad nymphs in Greek mythology, a daughter of the Titan Atlas and the Oceanid Pleione.
- 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: Oberon Triple: [Pascal, influenced, Oberon]
Generated description
Oberon is a modular, type-safe systems programming language designed by Niklaus Wirth as a streamlined successor to Pascal and Modula-2, emphasizing simplicity and efficiency.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oberon Target entity description: Oberon is a modular, type-safe systems programming language designed by Niklaus Wirth as a streamlined successor to Pascal and Modula-2, emphasizing simplicity and efficiency.
-
A.
Alcyone
Alcyone is one of the Pleiades in Greek mythology, a daughter of the Titan Atlas and often associated with the star cluster of the same name.
-
B.
Sterope
Sterope is a figure from Greek mythology, traditionally considered one of the Pleiades and a daughter of the Titan Atlas.
-
C.
Merope
Merope is one of the Pleiades in Greek mythology, a daughter of Atlas and Pleione who became a star in the constellation Taurus.
-
D.
Maia
Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
-
E.
Celaeno
Celaeno is one of the Pleiad nymphs in Greek mythology, a daughter of the Titan Atlas and the Oceanid Pleione.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24fd4777c81909ea9b9a6bd4f7ad5 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a29e45d6488190bc982137255c79f9 |
completed | Feb. 28, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69a2a04b1d008190aa1b353cb239de69 |
completed | Feb. 28, 2026, 7:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2a17dd35c81909b90cae5ad204aae |
completed | Feb. 28, 2026, 8:04 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.