Triple
T10162363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Scientific Basis |
E233920
|
entity |
| Predicate | hasEditor |
P1954
|
FINISHED |
| Object |
X. Dai
X. Dai is an editor known for contributing to the scientific work "The Scientific Basis."
|
E845586
|
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: X. Dai | Statement: [The Scientific Basis, hasEditor, X. Dai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: X. Dai Context triple: [The Scientific Basis, hasEditor, X. Dai]
-
A.
Xiaodong Chen
Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
-
B.
Xindong Wu
Xindong Wu is a prominent computer scientist known for his influential contributions to data mining and knowledge discovery research.
-
C.
Xing Li
Xing Li is a computer networking expert known for co-authoring IETF standards, including RFC 6145 on IPv4/IPv6 translation mechanisms.
-
D.
Xing Li
Xing Li is the creator and original developer of FanFiction.net, one of the largest and earliest online archives for user-written fan fiction.
-
E.
Geling Yan
Geling Yan is a Chinese-American novelist and screenwriter known for her emotionally powerful works that often explore the human impact of war, political upheaval, and social change in modern Chinese history.
- 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: X. Dai Triple: [The Scientific Basis, hasEditor, X. Dai]
Generated description
X. Dai is an editor known for contributing to the scientific work "The Scientific Basis."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: X. Dai Target entity description: X. Dai is an editor known for contributing to the scientific work "The Scientific Basis."
-
A.
Xiaodong Chen
Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
-
B.
Xindong Wu
Xindong Wu is a prominent computer scientist known for his influential contributions to data mining and knowledge discovery research.
-
C.
Xing Li
Xing Li is a computer networking expert known for co-authoring IETF standards, including RFC 6145 on IPv4/IPv6 translation mechanisms.
-
D.
Xing Li
Xing Li is the creator and original developer of FanFiction.net, one of the largest and earliest online archives for user-written fan fiction.
-
E.
Geling Yan
Geling Yan is a Chinese-American novelist and screenwriter known for her emotionally powerful works that often explore the human impact of war, political upheaval, and social change in modern Chinese history.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec5b5194819095645e9174897b0f |
completed | April 2, 2026, 4:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300cc37dc8190b331c8d205f40284 |
completed | April 6, 2026, 12:39 a.m. |
| NEDg | Description generation | batch_69d30254aabc8190966a4398c59a851e |
completed | April 6, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d30305924c8190998cbefa372dca9a |
completed | April 6, 2026, 12:49 a.m. |
Created at: March 30, 2026, 9:09 p.m.