Triple
T18812710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Fine |
E460055
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Larry Fine |
—
|
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: Larry Fine | Statement: [Larry Fine, name, Larry Fine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Fine Context triple: [Larry Fine, name, Larry Fine]
-
A.
Larry Fine
chosen
Larry Fine was an American comedian and actor best known as the frizzy-haired, violin-playing middle Stooge in the classic slapstick comedy team The Three Stooges.
-
B.
Curly Howard
Curly Howard was an American comedian best known as the most popular and zany member of the slapstick comedy team The Three Stooges.
-
C.
Sidney Radner
Sidney Radner was an American magician and renowned Houdini collector best known for amassing one of the world’s largest and most important collections of Harry Houdini memorabilia.
-
D.
Zeppo Marx
Zeppo Marx was the youngest of the Marx Brothers, known for playing the straight man in their early films before leaving show business to become a successful engineer and inventor.
-
E.
Joe Besser
Joe Besser was an American comedian and actor best known as one of the later members of The Three Stooges and for his distinctive whiny, childlike persona in film and television.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3dcc7d88190801d9c9202e0e411 |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.