Triple

T8116618
Position Surface form Disambiguated ID Type / Status
Subject Super E189488 entity
Predicate hasTrack P3284 FINISHED
Object Say It to Me
"Say It to Me" is a song by the English synth-pop duo Pet Shop Boys from their 2016 album "Super."
 E713542 NE FINISHED

How this triple was built (4 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 to Me | Statement: [Super, hasTrack, Say It to Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Say It to Me
Context triple: [Super, hasTrack, Say It to Me]
  • A. 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.
  • B. Say It
    "Say It" is a song by American alternative rock band Blue October, known for its emotionally charged lyrics and intense, melodic sound.
  • C. Say You, Say Me
    "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.
  • D. 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.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Say It to Me
Triple: [Super, hasTrack, Say It to Me]
Generated description
"Say It to Me" is a song by the English synth-pop duo Pet Shop Boys from their 2016 album "Super."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Say It to Me
Target entity description: "Say It to Me" is a song by the English synth-pop duo Pet Shop Boys from their 2016 album "Super."
  • A. Say It
    "Say It" is a song by American alternative rock band Blue October, known for its emotionally charged lyrics and intense, melodic sound.
  • B. 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.
  • C. Say You, Say Me
    "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.
  • D. 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.
  • 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. chosen

Provenance (5 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43320bf881909f97a235451bb3a4 completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc944439488190b95788e3a77ee732 completed April 1, 2026, 3:43 a.m.
NEDg Description generation batch_69cc95c0b19881908521cce5ac0fe197 completed April 1, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69cc96fa03d881909a1eeed6af9a3149 completed April 1, 2026, 3:54 a.m.
Created at: March 30, 2026, 5:33 p.m.