Triple

T15261967
Position Surface form Disambiguated ID Type / Status
Subject Todd Field E364798 entity
Predicate collaboratedWith P435 FINISHED
Object Cate Blanchett E37819 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: Cate Blanchett | Statement: [Todd Field, collaboratedWith, Cate Blanchett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cate Blanchett
Context triple: [Todd Field, collaboratedWith, Cate Blanchett]
  • A. Cate Blanchett chosen
    Cate Blanchett is an acclaimed Australian actress renowned for her versatile performances in both independent films and major Hollywood productions, earning numerous awards including Oscars, Golden Globes, and BAFTAs.
  • B. Julianne Moore
    Julianne Moore is an acclaimed American actress known for her emotionally nuanced performances in both independent films and major studio productions, including multiple Oscar-nominated roles and a Best Actress win for "Still Alice."
  • C. Marion Cotillard
    Marion Cotillard is an acclaimed French actress known for her versatile performances in both French and Hollywood films, including her Oscar-winning role in "La Vie en Rose."
  • D. Sally Hawkins
    Sally Hawkins is an acclaimed English actress known for her nuanced performances in both independent films and major studio productions, including her Oscar-nominated role in "The Shape of Water."
  • E. Tilda Cobham-Hervey
    Tilda Cobham-Hervey is an Australian actress known for her work in independent films and international productions, including the thriller "Hotel Mumbai."
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084e85a08190b8e63598b9f6a535 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5fb8b30819096d31ba5884715c9 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:14 a.m.