Triple
T10279230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colin Macfarquhar |
E241049
|
entity |
| Predicate | coFounderWith |
P2835
|
FINISHED |
| Object | Andrew Bell |
E179982
|
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: Andrew Bell | Statement: [Colin Macfarquhar, coFounderWith, Andrew Bell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Bell Context triple: [Colin Macfarquhar, coFounderWith, Andrew Bell]
-
A.
Andrew Bell
Andrew Bell was a Scottish educationalist and Anglican clergyman best known for developing the Madras system of education, which influenced schooling practices in Britain.
-
B.
Andrew Bell
chosen
Andrew Bell was an 18th-century Scottish printer and engraver best known for co-founding and illustrating the first edition of the Encyclopaedia Britannica.
-
C.
Ali Bell
Ali Bell is a film producer known for her work on major Hollywood projects, including the sports drama "Draft Day."
-
D.
Andrew Watts
Andrew Watts is a British countertenor known for his performances in contemporary opera and concert repertoire.
-
E.
Geoff Bell
Geoff Bell is a British character actor known for his tough-guy roles in films such as "Green Street," "The Business," and "Kingsman: The Secret Service."
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d29fdf2c819099dd581deac08cf2 |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f8286b1881908b54037d1798f74a |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:38 a.m.