Triple

T523113
Position Surface form Disambiguated ID Type / Status
Subject Graduation E10860 entity
Predicate producer P490 FINISHED
Object Warryn Campbell E110893 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: Warryn Campbell | Statement: [Graduation, producer, Warryn Campbell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warryn Campbell
Context triple: [Graduation, producer, Warryn Campbell]
  • A. Warryn Campbell chosen
    Warryn Campbell is an American record producer, songwriter, and multi-instrumentalist known for his work across hip hop, R&B, and gospel with artists such as Kanye West, Mary Mary, and Alicia Keys.
  • B. Cale Boyter
    Cale Boyter is a film producer known for his work on major genre and franchise movies, including the science fiction action sequel "Pacific Rim: Uprising."
  • C. Duncan Kenworthy
    Duncan Kenworthy is a British film and television producer best known for hit romantic comedies such as "Four Weddings and a Funeral," "Notting Hill," and "Love Actually."
  • D. Andrew McCollum
    Andrew McCollum is an American entrepreneur and software engineer best known as one of the original co-founders of Facebook.
  • E. Travis Beacham
    Travis Beacham is an American screenwriter best known for co-writing the science fiction monster film "Pacific Rim."
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b4f01881908b408357ff113308 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1185da8c8190a70f4fd885bbe209 completed March 7, 2026, 11:52 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.