Triple
T20022779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gresham College |
E494903
|
entity |
| Predicate | hasNotableProfessor |
P13831
|
FINISHED |
| Object | Ian Stewart |
—
|
NE NERFINISHED |
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 Stewart | Statement: [Gresham College, hasNotableProfessor, Ian Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Stewart Context triple: [Gresham College, hasNotableProfessor, Ian Stewart]
-
A.
Ian Stewart
chosen
Ian Stewart is a British mathematician and prolific popular science writer known for his engaging books and articles on mathematics and its applications.
-
B.
Ian Stewart
Ian Stewart was a Scottish keyboardist best known as a founding member and longtime pianist for the Rolling Stones.
-
C.
Ian Stewart
Ian Stewart is a legendary Australian rules footballer renowned for his exceptional midfield play and status as one of the few multiple Brownlow Medal winners.
-
D.
Ian Stewart
Ian Stewart is a British Labour politician who became the inaugural directly elected mayor of the city of Salford.
-
E.
Ian M. Stewart
Ian M. Stewart is a television and live-event producer known for overseeing large-scale broadcast productions, including NBC’s musical specials.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66288fc18819083833b55c5e069a6 |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:35 p.m.