Triple

T15608825
Position Surface form Disambiguated ID Type / Status
Subject Roberto Schaefer E375232 entity
Predicate notableWork P4 FINISHED
Object Trust the Man E789913 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: Trust the Man | Statement: [Roberto Schaefer, notableWork, Trust the Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trust the Man
Context triple: [Roberto Schaefer, notableWork, Trust the Man]
  • A. Trust the Man chosen
    Trust the Man is a 2005 romantic comedy film set in New York City that follows the relationship struggles of two couples navigating love, commitment, and midlife crises.
  • B. Trust No Man
    "Trust No Man" is a blues song by pioneering early 20th-century American singer Ma Rainey, reflecting her powerful vocal style and themes of hardship and mistrust in relationships.
  • C. Call the Man
    "Call the Man" is a power ballad by Celine Dion, featured on her 1996 album *Falling into You*.
  • D. Cautious Man
    Cautious Man is a song by Bruce Springsteen from his album "Tunnel of Love," known for its introspective storytelling about love, fear, and commitment.
  • E. Watch That Man
    Watch That Man is a comedic crime novel by British author Robert Farran that served as the basis for the film "The Man Who Knew Too Little."
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8024948190a6c711f2e5c2aac4 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d51c28819097b8c2c0e2307401 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.