Triple

T13313151
Position Surface form Disambiguated ID Type / Status
Subject Coup de torchon E317122 entity
Predicate basedOnAuthor P2806 FINISHED
Object Jim Thompson E242671 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: Jim Thompson | Statement: [Coup de torchon, basedOnAuthor, Jim Thompson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Thompson
Context triple: [Coup de torchon, basedOnAuthor, Jim Thompson]
  • A. Jim Thompson chosen
    Jim Thompson was an American crime novelist renowned for his dark, psychologically driven noir fiction and influential contributions to mid-20th-century pulp literature.
  • B. Jim Thompson
    Jim Thompson is the fictional husband of the title character on the 1960s American sitcom "The Debbie Reynolds Show."
  • C. Lee Tourneau
    Lee Tourneau is a fictional character from the film "Horns," known for his involvement in the dark, supernatural events surrounding the protagonist.
  • D. John T. Ford
    John T. Ford was a 19th-century American theater manager and impresario best known for owning and operating Ford's Theatre in Washington, D.C., where President Abraham Lincoln was assassinated.
  • E. Lee Flaherty
    Lee Flaherty is an American businessman and race organizer best known for creating and launching the Chicago Marathon in the 1970s.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f6d34c8190ba19dc2df7d42c22 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e7b9a48190a33b04df8ad45ed8 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:29 p.m.