Triple

T22364676
Position Surface form Disambiguated ID Type / Status
Subject Justice E552870 entity
Predicate awardForWork P15639 FINISHED
Object We Are Your Friends NE NERFINISHED

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: We Are Your Friends | Statement: [Justice, awardForWork, We Are Your Friends]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: We Are Your Friends
Context triple: [Justice, awardForWork, We Are Your Friends]
  • A. We Are Your Friends chosen
    We Are Your Friends is a 2006 electro house track by Justice vs. Simian that became a defining anthem of the French electronic music scene.
  • B. What About Your Friends
    "What About Your Friends" is a 1992 R&B/hip-hop single by the American girl group TLC that explores themes of trust and loyalty in friendships.
  • C. Tell Your Friends
    "Tell Your Friends" is a jazz-fusion album by the instrumental ensemble Snarky Puppy that helped establish their reputation for complex arrangements and energetic, groove-driven performances.
  • D. Tell Your Friends
    "Tell Your Friends" is a moody, introspective R&B track by The Weeknd known for its confessional lyrics and dark, atmospheric production.
  • E. Best of Friends
    Best of Friends is a work featuring actress Nancy Allen, known for her prominent roles in films like Carrie, Dressed to Kill, and RoboCop.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157ffba088190ae455508eb6c2a9c completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.