Triple

T19829647
Position Surface form Disambiguated ID Type / Status
Subject Larenz Tate E476420 entity
Predicate notableWork P4 FINISHED
Object A Man Apart NE NERFINISHED

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: A Man Apart | Statement: [Larenz Tate, notableWork, A Man Apart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Man Apart
Context triple: [Larenz Tate, notableWork, A Man Apart]
  • A. A Man Apart chosen
    A Man Apart is a 2003 action crime film starring Vin Diesel as a DEA agent seeking revenge against a powerful drug cartel.
  • B. Merely a Man
    Merely a Man is a song featured on the album "Oranges & Lemons" by the English rock band XTC.
  • C. Your One and Only Man
    "Your One and Only Man" is a soulful R&B song performed by Otis Redding, showcasing his emotive vocals and classic 1960s soul style.
  • D. The Man Between
    The Man Between is a 1953 British Cold War thriller film set in postwar Berlin, directed by Carol Reed and noted for its atmospheric cinematography and espionage-driven plot.
  • E. The Man Within
    The Man Within is a 1947 British drama film adaptation of Graham Greene’s novel, featuring Phyllis Calvert in a leading role.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656ccd3748190adeaed9a431f8979 completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.