Triple

T12683696
Position Surface form Disambiguated ID Type / Status
Subject Blue-Tongue Films E303010 entity
Predicate hasMember P10 FINISHED
Object Cate Shortland E257917 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 Shortland | Statement: [Blue-Tongue Films, hasMember, Cate Shortland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cate Shortland
Context triple: [Blue-Tongue Films, hasMember, Cate Shortland]
  • A. Cate Shortland chosen
    Cate Shortland is an Australian film and television director known for character-driven dramas and for directing the Marvel superhero film "Black Widow."
  • B. Niki Caro
    Niki Caro is a New Zealand filmmaker best known for directing character-driven dramas such as "Whale Rider" and "North Country," as well as Disney's live-action "Mulan."
  • C. Jocelyn Moorhouse
    Jocelyn Moorhouse is an Australian film director and screenwriter known for character-driven dramas such as "Proof" and "How to Make an American Quilt."
  • D. Rowan Joffé
    Rowan Joffé is a British screenwriter and director known for his work on films such as "28 Weeks Later" and "Brighton Rock."
  • E. Phillip Noyce
    Phillip Noyce is an acclaimed Australian film director known for both influential early work in the Australian New Wave and successful Hollywood thrillers such as "Patriot Games" and "The Bone Collector."
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d68358819095bdaab8adf1dcf0 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a733a48190b55d296573c86eaf completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:21 p.m.