Triple

T7507472
Position Surface form Disambiguated ID Type / Status
Subject Bates E177426 entity
Predicate hasNotableBearer P458 FINISHED
Object Alan Bates E190481 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: Alan Bates | Statement: [Bates, hasNotableBearer, Alan Bates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Bates
Context triple: [Bates, hasNotableBearer, Alan Bates]
  • A. Alan Bates chosen
    Alan Bates was an acclaimed English actor known for his intense, nuanced performances in film, television, and theatre from the 1960s onward.
  • B. Anthony Perkins
    Anthony Perkins was an American actor best known for his iconic role as Norman Bates in Alfred Hitchcock’s film "Psycho."
  • C. Stanley Baker
    Stanley Baker was a Welsh actor and film producer known for his intense screen presence and prominent roles in British cinema of the 1950s and 1960s.
  • D. Robert Clark
    Robert Clark, better known as Robert Indiana, was an American artist associated with the pop art movement, famed for his iconic "LOVE" image and bold, text-based works.
  • E. Robert Clark
    Robert Clark was a British film producer best known for his work on mid-20th-century war and adventure films.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b76a288190bb3608a5e3bfa212 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83ca243288190bb253f4d91701407 completed March 28, 2026, 8:40 p.m.
Created at: March 27, 2026, 3:45 p.m.