Triple

T13549328
Position Surface form Disambiguated ID Type / Status
Subject Angie Fielder E323598 entity
Predicate notableCollaboration P8554 FINISHED
Object Garth Davis E62608 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: Garth Davis | Statement: [Angie Fielder, notableCollaboration, Garth Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garth Davis
Context triple: [Angie Fielder, notableCollaboration, Garth Davis]
  • A. Garth Davis chosen
    Garth Davis is an Australian film and television director best known for his critically acclaimed feature "Lion" and work on the series "Top of the Lake."
  • B. Justin Kurzel
    Justin Kurzel is an Australian film director known for his visually striking and often dark adaptations, including the 2015 film "Macbeth" and the true-crime drama "Snowtown."
  • C. Francis Lee
    Francis Lee is a British filmmaker and screenwriter best known for his intimate, character-driven dramas such as "God's Own Country" and "Ammonite."
  • D. Michael Grandage
    Michael Grandage is a British theatre and film director known for his acclaimed stage productions and for directing the romantic drama film "My Policeman."
  • E. Sacha Gervasi
    Sacha Gervasi is a British screenwriter and director known for films such as "The Terminal" and the documentary "Anvil! The Story of Anvil."
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafdcecf481909999a173b32a58cd completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a838581c819092a195f60673b743 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:45 p.m.