Triple

T16770784
Position Surface form Disambiguated ID Type / Status
Subject Trevor Engelson E407588 entity
Predicate name P16 FINISHED
Object Trevor Engelson E407588 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: Trevor Engelson | Statement: [Trevor Engelson, name, Trevor Engelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trevor Engelson
Context triple: [Trevor Engelson, name, Trevor Engelson]
  • A. Trevor Engelson chosen
    Trevor Engelson is an American film producer and talent manager best known for his work in Hollywood and for his former marriage to Meghan, Duchess of Sussex.
  • B. Michael Engler
    Michael Engler is an American television and film director and producer known for his work on acclaimed series such as "Downton Abbey," "Sex and the City," and "30 Rock."
  • C. Johnny Gandelsman
    Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
  • D. Michael Jaffe
    Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
  • E. Philip Chosky
    Philip Chosky was a philanthropist and benefactor known for his significant support of the arts, particularly theater.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b0361e5081908f58edf766ff3ce0 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dbf92b148190825778809bc4aac2 completed May 10, 2026, 7:26 p.m.
Created at: April 10, 2026, 5:21 a.m.