Triple

T5643010
Position Surface form Disambiguated ID Type / Status
Subject Baz Luhrmann E124313 entity
Predicate spouse P13 FINISHED
Object Catherine Martin E302588 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: Catherine Martin | Statement: [Baz Luhrmann, spouse, Catherine Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catherine Martin
Context triple: [Baz Luhrmann, spouse, Catherine Martin]
  • A. Catherine Martin chosen
    Catherine Martin is an Australian costume, production designer, and film producer best known for her long-time creative collaboration with director Baz Luhrmann on visually lavish films.
  • B. Sandy Powell
    Sandy Powell is a renowned British costume designer celebrated for her innovative and influential work on numerous acclaimed films.
  • C. Maggie Steed
    Maggie Steed is a British actress and comedian known for her work in television, film, and theatre, including prominent roles in series such as "Pie in the Sky."
  • D. Krysty Wilson-Cairns
    Krysty Wilson-Cairns is a Scottish screenwriter known for co-writing the acclaimed World War I film "1917" and working on various high-profile film and television projects.
  • E. William Oldroyd
    William Oldroyd is a British film and theatre director best known for his critically acclaimed 2016 period drama film "Lady Macbeth."
  • 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022a7cd9c819087f86f60e8b65fc3 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d7c98008190b79528596eca4208 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:41 p.m.