Triple

T16569132
Position Surface form Disambiguated ID Type / Status
Subject Seraphim Falls E402537 entity
Predicate castMember P1668 FINISHED
Object Kevin J. O’Connor 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: Kevin J. O’Connor | Statement: [Seraphim Falls, castMember, Kevin J. O’Connor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin J. O’Connor
Context triple: [Seraphim Falls, castMember, Kevin J. O’Connor]
  • A. Kevin J. O'Connor chosen
    Kevin J. O'Connor is an American character actor known for his eccentric and memorable supporting roles in films such as "There Will Be Blood" and "The Mummy."
  • B. Kevin O'Connor
    Kevin O'Connor is an American entrepreneur best known as the co-founder and former CEO of the online advertising company DoubleClick.
  • C. Michael J. Durkan
    Michael J. Durkan is an individual notable enough to be recognized as a bearer of the Durkan surname, though specific widely known public details about him are limited.
  • D. Michael O'Connor
    Michael O'Connor is an Academy Award-winning British costume designer known for his detailed period work on films such as "The Duchess" and "Jane Eyre" (2011).
  • E. Kevin M. Quinn
    Kevin M. Quinn is a political scientist and quantitative methodologist known for his work in statistical modeling and empirical legal studies.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35773c00c819091731bebc02a69bb completed April 18, 2026, 10:05 a.m.
Created at: April 10, 2026, 5:16 a.m.