Triple

T201231
Position Surface form Disambiguated ID Type / Status
Subject Victor Fleming E4507 entity
Predicate workedWith P398 FINISHED
Object Clark Gable E15035 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: Clark Gable | Statement: [Victor Fleming, workedWith, Clark Gable]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clark Gable
Context triple: [Victor Fleming, workedWith, Clark Gable]
  • A. Clark Gable chosen
    Clark Gable was a legendary American film actor, best known for his charismatic leading roles in classic Hollywood films such as "Gone with the Wind."
  • B. Humphrey Bogart
    Humphrey Bogart was an iconic American film actor best known for his tough yet vulnerable screen persona in classic films such as "Casablanca" and "The Maltese Falcon."
  • C. Cary Grant
    Cary Grant was a quintessential leading man of classic Hollywood cinema, renowned for his debonair charm, comic timing, and roles in films such as "North by Northwest" and "Bringing Up Baby."
  • D. Gregory Peck
    Gregory Peck was an acclaimed American actor renowned for his dignified, morally upright roles in classic films such as "To Kill a Mockingbird."
  • E. John Garfield
    John Garfield was an American actor of the 1930s and 1940s known for his intense, naturalistic performances in socially conscious films.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25be5a6d081909723b23a6361d6ea completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a332c7afc48190a65c7e71260c84b4 completed Feb. 28, 2026, 6:24 p.m.
Created at: Feb. 28, 2026, 2:51 a.m.