Triple

T17352542
Position Surface form Disambiguated ID Type / Status
Subject Mark Korven E421850 entity
Predicate collaborationWith P398 FINISHED
Object Robert Eggers NE ONNED1

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: Robert Eggers | Statement: [Mark Korven, collaborationWith, Robert Eggers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Eggers
Context triple: [Mark Korven, collaborationWith, Robert Eggers]
  • A. Robert Eggers chosen
    Robert Eggers is an American filmmaker known for his meticulously researched, atmospheric horror and period films such as "The Witch" and "The Lighthouse."
  • B. David Michôd
    David Michôd is an Australian film director and screenwriter best known for his crime drama "Animal Kingdom" and dystopian thriller "The Rover."
  • C. Ari Aster
    Ari Aster is an American filmmaker and screenwriter best known for his unsettling, character-driven horror films such as "Hereditary" and "Midsommar."
  • D. 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.
  • E. James Gray
    James Gray is a British Conservative Party politician who has served as the Member of Parliament for the North Wiltshire constituency.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2dae648190b7f3487919a446af completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955a50dc819090c1a0ec111d9fc0 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.