Triple

T2771141
Position Surface form Disambiguated ID Type / Status
Subject Cliffhanger E61457 entity
Predicate storyBy P1955 FINISHED
Object Michael France E296910 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: Michael France | Statement: [Cliffhanger, storyBy, Michael France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael France
Context triple: [Cliffhanger, storyBy, Michael France]
  • A. Michael France chosen
    Michael France was an American screenwriter best known for writing high-profile action and superhero films, including the Sylvester Stallone thriller "Cliffhanger."
  • B. Jim France
    Jim France is an American motorsports executive and member of the France family who serves as the current leader of NASCAR.
  • C. Bertrand Goldschmidt
    Bertrand Goldschmidt was a French chemist and nuclear scientist who played a key role in early atomic research and the development of France’s nuclear program.
  • D. Eric Thibault
    Eric Thibault is a professional basketball coach best known for leading the WNBA’s Washington Mystics.
  • E. Martin Roche
    Martin Roche was an American architect best known as a partner in the influential Chicago firm Holabird & Roche, which helped shape the city’s early skyscraper architecture.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd6a23208190ba94c9a9f601a042 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc64c83748190921589bec20dec58 completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:57 p.m.