Triple

T15960016
Position Surface form Disambiguated ID Type / Status
Subject Kerry Orent E387032 entity
Predicate notableWork P4 FINISHED
Object She Said E199798 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: She Said | Statement: [Kerry Orent, notableWork, She Said]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: She Said
Context triple: [Kerry Orent, notableWork, She Said]
  • A. She Said chosen
    "She Said" is a 2022 drama film that chronicles The New York Times investigation into Harvey Weinstein’s sexual misconduct, helping to ignite the #MeToo movement.
  • B. He Said
    "He Said" is a song by the alternative rock band Ghost of a Dog.
  • C. They Say
    "They Say" is a song title that has been used by multiple artists across genres, typically exploring themes of external judgment and personal identity.
  • D. Say It
    "Say It" is a song by American alternative rock band Blue October, known for its emotionally charged lyrics and intense, melodic sound.
  • E. Say It
    "Say It" is a track by the American hip hop group R.E.D, featured as part of their musical releases.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fe82d081908b5d41bc5a709de2 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe806ef4819095a4dfe104d0bdc8 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.