Triple

T3204859
Position Surface form Disambiguated ID Type / Status
Subject Feedback E67136 entity
Predicate producer P490 FINISHED
Object Derrick Harvin E344449 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: Derrick Harvin | Statement: [Feedback, producer, Derrick Harvin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derrick Harvin
Context triple: [Feedback, producer, Derrick Harvin]
  • A. Derrick Harvin chosen
    Derrick Harvin is a writer known for crafting feedback, likely in editorial, evaluative, or review-focused contexts.
  • B. DeVon Harris
    DeVon Harris is a songwriter best known for his work on the track "So High."
  • C. Derrick Brooks
    Derrick Brooks is a Hall of Fame NFL linebacker best known for anchoring the Tampa Bay Buccaneers’ dominant defense and helping lead the team to a Super Bowl title.
  • D. Derrick Hodge
    Derrick Hodge is an American bassist, composer, and bandleader known for his work in contemporary jazz, R&B, and film scoring, including collaborations with artists like Robert Glasper and Terence Blanchard.
  • E. Tony Delk
    Tony Delk is a former American basketball guard best known for starring at the University of Kentucky in the mid-1990s and leading the Wildcats to the 1996 NCAA championship before playing in the NBA.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa559848819082d1e61f586278dd completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3b7e5c48190a8fc84ae78d4bd66 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:07 p.m.