Triple

T14045258
Position Surface form Disambiguated ID Type / Status
Subject Never Let Me Go E337939 entity
Predicate musicVideoDirector P4911 FINISHED
Object Tom Beard E1075955 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: Tom Beard | Statement: [Never Let Me Go, musicVideoDirector, Tom Beard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Beard
Context triple: [Never Let Me Go, musicVideoDirector, Tom Beard]
  • A. Tom Beard chosen
    Tom Beard is a British photographer and music video director known for his visually distinctive collaborations with artists such as Florence + the Machine.
  • B. Kevin McCall
    Kevin McCall is an American singer, songwriter, rapper, and producer known for his work in contemporary R&B and hip hop, including collaborations with artists like Chris Brown.
  • C. John Bettis
    John Bettis is an American lyricist and songwriter known for penning numerous pop and television theme songs, including hits for artists like The Carpenters and Michael Jackson.
  • D. Rob Mullens
    Rob Mullens is a college athletics administrator best known for serving as the athletic director at the University of Oregon.
  • E. Tom Burleson
    Tom Burleson is a retired American professional basketball center best known for his shot-blocking and rebounding in the NBA during the 1970s.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de312df37081909f45ce3e219af5dc completed April 14, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd099b7788190a7c309dba450e58f completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:20 p.m.