Triple
T11140756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horace Andy |
E263544
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Bunny Lee |
E263546
|
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: Bunny Lee | Statement: [Horace Andy, associatedAct, Bunny Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bunny Lee Context triple: [Horace Andy, associatedAct, Bunny Lee]
-
A.
Bunny Lee
chosen
Bunny Lee was a pioneering Jamaican record producer and key architect of the reggae and dub sound from the late 1960s onward.
-
B.
Lila Lee
Lila Lee was a popular American silent film actress of the 1910s and 1920s, known for her girl-next-door charm and roles in major productions of the era.
-
C.
Bunny Yeager
Bunny Yeager was an influential American pin-up model turned photographer, best known for her iconic 1950s glamour and bikini photographs that helped popularize models like Bettie Page.
-
D.
Bobby Lee
Bobby Lee is an American comedian and actor best known for his sketch comedy work and offbeat characters on television and in stand-up.
-
E.
Anna Lee
Anna Lee was a British-born actress known for her prolific film and television career, including prominent roles in classic Hollywood dramas and long-running TV soap operas.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e860ca408190bea461e115f04fd7 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463177bfc81908a3e66ffc0777777 |
completed | April 19, 2026, 5:07 a.m. |
Created at: April 8, 2026, 9:28 p.m.