Triple

T6271058
Position Surface form Disambiguated ID Type / Status
Subject White Nights E140534 entity
Predicate hasSong P20452 FINISHED
Object Say You, Say Me E70711 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: Say You, Say Me | Statement: [White Nights, hasSong, Say You, Say Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Say You, Say Me
Context triple: [White Nights, hasSong, Say You, Say Me]
  • A. Say You, Say Me chosen
    "Say You, Say Me" is a 1985 soft rock ballad by Lionel Richie that became a number-one hit and won the Academy Award for Best Original Song.
  • B. 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.
  • C. Say It
    "Say It" is a song by American alternative rock band Blue October, known for its emotionally charged lyrics and intense, melodic sound.
  • D. Say It
    "Say It" is a track by Rihanna from her acclaimed 2007 album *Good Girl Gone Bad*, blending R&B and pop influences with sensual, confessional lyrics.
  • E. 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.
  • 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063bb340c8190ab81b249cefa91ca completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2446629248190945f0f4f4a103bbd completed March 24, 2026, 7:59 a.m.
Created at: March 22, 2026, 4:25 p.m.