Triple

T8890967
Position Surface form Disambiguated ID Type / Status
Subject Before She Said Hi E211666 entity
Predicate title P38 FINISHED
Object Before She Said Hi E211666 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: Before She Said Hi | Statement: [Before She Said Hi, title, Before She Said Hi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Before She Said Hi
Context triple: [Before She Said Hi, title, Before She Said Hi]
  • A. Before She Said Hi chosen
    "Before She Said Hi" is a song featured on the album "Evolver."
  • B. She Said
    "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.
  • C. Make Her Say
    "Make Her Say" is a hip-hop single by Kid Cudi featuring Kanye West and Common, known for its playful lyrics and prominent sample of Lady Gaga's "Poker Face."
  • D. American Hi-Fi
    American Hi-Fi is an American rock band best known for their early-2000s pop-punk and alternative rock hits like "Flavor of the Weak."
  • E. And She Was
    "And She Was" is a 1985 new wave song by Talking Heads, known for its surreal lyrics and upbeat, guitar-driven sound.
  • 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc619188508190aacda410f0b4c98d completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabf01d048190bed52b5b001d7ffa completed April 3, 2026, noon
Created at: March 30, 2026, 6:53 p.m.