Triple

T18805084
Position Surface form Disambiguated ID Type / Status
Subject Tony McNamara E459849 entity
Predicate collaboratedWith P435 FINISHED
Object Yorgos Lanthimos NE NERFINISHED

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: Yorgos Lanthimos | Statement: [Tony McNamara, collaboratedWith, Yorgos Lanthimos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yorgos Lanthimos
Context triple: [Tony McNamara, collaboratedWith, Yorgos Lanthimos]
  • A. Yorgos Lanthimos chosen
    Yorgos Lanthimos is a Greek film director and screenwriter known for his darkly absurd, psychologically unsettling films such as "Dogtooth," "The Lobster," and "The Favourite."
  • B. George Swinton
    George Swinton was a notable member of the prominent Swinton family, recognized for his role in public service and contributions to British civic life.
  • C. Theo Angelopoulos
    Theo Angelopoulos was a renowned Greek filmmaker celebrated for his slow, meditative style, long takes, and politically charged, poetic explorations of history and memory.
  • D. Peter Strickland
    Peter Strickland is a British filmmaker known for his atmospheric, genre-bending films that blend psychological horror, dark humor, and meticulous sound design.
  • E. Martin Arjovsky
    Martin Arjovsky is a machine learning researcher best known for introducing the Wasserstein GAN, a generative adversarial network variant that improves training stability and sample quality.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3d6d5e081909d8285e52cb753ba completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.