Triple

T13575886
Position Surface form Disambiguated ID Type / Status
Subject Julia McCullough E324283 entity
Predicate spouseOf P13 FINISHED
Object Robert Angier E246258 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: Robert Angier | Statement: [Julia McCullough, spouseOf, Robert Angier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Angier
Context triple: [Julia McCullough, spouseOf, Robert Angier]
  • A. Robert Angier chosen
    Robert Angier is a charismatic and obsessive stage magician whose fierce rivalry with fellow illusionist Alfred Borden drives the tragic plot of Christopher Nolan’s film "The Prestige."
  • B. Henry Ratcliffe
    Henry Ratcliffe is a relatively obscure individual whose primary noted distinction is sharing the Ratcliffe surname as a recorded notable bearer.
  • C. Edward Shearmur
    Edward Shearmur is a British film composer known for his orchestral scores for a wide range of Hollywood movies and television projects.
  • D. Philip Stainton
    Philip Stainton was a British character actor known for his supporting roles in mid-20th-century films, including the adventure drama "Mogambo."
  • E. Alex Reiger
    Alex Reiger is the level-headed, philosophical cab driver who serves as the central character in the classic television sitcom "Taxi."
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb02b1f108190a12af382d1de70bb completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bba21f88190b8952fb0879e623d completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:48 p.m.