Triple

T16569485
Position Surface form Disambiguated ID Type / Status
Subject Loose E402547 entity
Predicate hasPart P35 FINISHED
Object Say It Right E426428 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 It Right | Statement: [Loose, hasPart, Say It Right]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Say It Right
Context triple: [Loose, hasPart, Say It Right]
  • A. Say It Right chosen
    "Say It Right" is a 2006 electro-pop and R&B-influenced hit single by Nelly Furtado, known for its atmospheric production and widespread international chart success.
  • B. Say It
    "Say It" is a track by the American hip hop group R.E.D, featured as part of their musical releases.
  • 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. Say It
    "Say It" is a 2015 R&B/hip-hop single by Tory Lanez that gained widespread popularity for its smooth vocals and prominent sample of Brownstone’s “If You Love Me.”
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e359580f548190a21afd148bc22d8d completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ee616a0819089b3cdc1da951735 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:16 a.m.