Triple
T2238229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Foster |
E49332
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ian Foster |
E49332
|
NE FINISHED |
How this triple was built (2 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: Ian Foster | Statement: [Ian Foster, name, Ian Foster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Foster Context triple: [Ian Foster, name, Ian Foster]
-
A.
Ian Foster
chosen
Ian Foster is a New Zealand rugby union coach best known for serving as head coach of the All Blacks national team.
-
B.
Andrew G. Myers
Andrew G. Myers is an American organic chemist renowned for his contributions to complex molecule synthesis and medicinal chemistry.
-
C.
David J. Wetherall
David J. Wetherall is a computer scientist and academic known for his influential work and textbooks in computer networking.
-
D.
Gordon Bell
Gordon Bell is an American computer engineer and pioneer in computer architecture, best known for his influential work at Digital Equipment Corporation (DEC) and contributions to minicomputer and bus design.
-
E.
Michael S. Paterson
Michael S. Paterson is a British computer scientist and mathematician known for his contributions to theoretical computer science and combinatorial game theory.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc096c7748190a545cc9b229bde62 |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b0a9ee881909dee8b0a657b9c73 |
completed | March 9, 2026, 6:39 a.m. |
Created at: March 4, 2026, 7:47 p.m.