Triple

T4004665
Position Surface form Disambiguated ID Type / Status
Subject Martin Beck E89495 entity
Predicate knownAs P39 FINISHED
Object Martin Beck E89495 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: Martin Beck | Statement: [Martin Beck, knownAs, Martin Beck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Beck
Context triple: [Martin Beck, knownAs, Martin Beck]
  • A. Martin Beck chosen
    Martin Beck was a prominent early 20th-century American theatrical impresario and vaudeville entrepreneur who played a key role in developing Broadway and national theater circuits.
  • B. Jack Weston
    Jack Weston was an American character actor known for his comic and dramatic roles in film, television, and theater from the 1950s through the 1980s.
  • C. J. J. Gittes
    J. J. Gittes is the cynical yet principled private investigator portrayed by Jack Nicholson in the classic neo-noir film "Chinatown."
  • D. James Arthur Monk
    James Arthur Monk, better known as Art Monk, is a Hall of Fame former NFL wide receiver renowned for his prolific career with the Washington Redskins and multiple Super Bowl victories.
  • E. Norman Colin Dexter
    Norman Colin Dexter was an English crime writer best known for creating the Inspector Morse detective novels.
  • 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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa5f7b308190adaad864eec98936 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c648d3c8190a85e5cdfb20f6044 completed March 14, 2026, 11:54 a.m.
Created at: March 9, 2026, 3:34 p.m.