Triple

T15780280
Position Surface form Disambiguated ID Type / Status
Subject Seventh Doctor E382593 entity
Predicate notableCompanion P22642 FINISHED
Object Mel Bush E1089685 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: Mel Bush | Statement: [Seventh Doctor, notableCompanion, Mel Bush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mel Bush
Context triple: [Seventh Doctor, notableCompanion, Mel Bush]
  • A. Mel Bush chosen
    Mel Bush is a companion of the Seventh Doctor in the long-running British science fiction series Doctor Who.
  • B. Paul Bush
    Paul Bush was a 16th-century English clergyman who became the first Bishop of Bristol during the early years of the English Reformation.
  • C. Dee Lampton
    Dee Lampton was an American silent film comedian best known for his frequent appearances in early Hal Roach comedies alongside stars like Harold Lloyd.
  • D. Mel Stuart
    Mel Stuart was an American film and television director best known for helming the classic 1971 musical fantasy film "Willy Wonka & the Chocolate Factory."
  • E. Cherie Berry
    Cherie Berry is a North Carolina politician best known for her long tenure as the state's Commissioner of Labor, during which her photo became widely recognized from being displayed in elevators across the state.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e053fea90081908e3fe4f91475bead completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff909f7f4481909cceb32e26af3780 completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.