Triple

T1513974
Position Surface form Disambiguated ID Type / Status
Subject Longford Lyell Award E32076 entity
Predicate hasRecipient P108 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: [Longford Lyell Award, hasRecipient, Cate Blanchett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cate Blanchett
Context triple: [Longford Lyell Award, hasRecipient, 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. Toni Collette
    Toni Collette is an Australian actress acclaimed for her versatile performances in films such as "The Sixth Sense," "Little Miss Sunshine," and "Hereditary," as well as in television series like "United States of Tara."
  • E. Michelle Williams
    Michelle Williams is an acclaimed American actress known for her emotionally nuanced performances in both independent films and major studio productions, earning multiple Academy Award and Golden Globe nominations and wins.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907d901ac8190be55ed4bac609d1d completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad294b16e481908a0b3cf7fd774caa completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:26 p.m.