Triple

T13920763
Position Surface form Disambiguated ID Type / Status
Subject Joe Besser E334734 entity
Predicate workedWith P398 FINISHED
Object Larry Fine E460055 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: Larry Fine | Statement: [Joe Besser, workedWith, Larry Fine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Fine
Context triple: [Joe Besser, workedWith, 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 (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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa428ac819084e7c4b244d15f20 completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1c45ba4819096233570d8d4afec completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:16 p.m.