Triple

T14711692
Position Surface form Disambiguated ID Type / Status
Subject Snowfall E345561 entity
Predicate executiveProducer P7225 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: [Snowfall, executiveProducer, Trevor Engelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trevor Engelson
Context triple: [Snowfall, executiveProducer, 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. 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.
  • C. Philip Chosky
    Philip Chosky was a philanthropist and benefactor known for his significant support of the arts, particularly theater.
  • D. Scott J. Horowitz
    Scott J. Horowitz is a former NASA astronaut and U.S. Air Force colonel who flew on four Space Shuttle missions in the 1990s and early 2000s.
  • E. Jeff Kodosky
    Jeff Kodosky is an American engineer and co-founder of National Instruments, best known as the "father of LabVIEW" for creating the influential graphical programming environment.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb982bf248190881e21a8a0861a3f completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff677b7be08190afc2767835836908 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:28 a.m.