Triple

T7806753
Position Surface form Disambiguated ID Type / Status
Subject Peter Vaughan E180573 entity
Predicate workedWith P398 FINISHED
Object Terry Gilliam E14485 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: Terry Gilliam | Statement: [Peter Vaughan, workedWith, Terry Gilliam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terry Gilliam
Context triple: [Peter Vaughan, workedWith, Terry Gilliam]
  • A. Terry Gilliam chosen
    Terry Gilliam is an American-born British filmmaker, animator, and comedian best known as the lone American member of the surreal comedy troupe Monty Python and the director of cult films such as Brazil and 12 Monkeys.
  • B. Gilliam
    Gilliam is a surname most notably associated with Sam Gilliam, an influential American abstract painter linked to the Washington Color School.
  • C. Julian Winding
    Julian Winding is a Danish musician and composer known for his electronic and synth-driven work, including contributions to film soundtracks.
  • D. Terry Jones
    Terry Jones was a Welsh comedian, writer, actor, and director best known as one of the founding members and creative forces behind the British comedy group Monty Python.
  • E. Tim Burton
    Tim Burton is an American filmmaker known for his darkly whimsical visual style and gothic fantasy films such as Beetlejuice, Edward Scissorhands, and The Nightmare Before Christmas.
  • 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_69ca827f6f148190beca4e245b993506 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf639fba88190a7c117aab19c0b0f completed March 30, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb1450a2408190afe0459086d4480f completed March 31, 2026, 12:24 a.m.
Created at: March 30, 2026, 4:35 p.m.