Triple

T13603111
Position Surface form Disambiguated ID Type / Status
Subject The Rite E324991 entity
Predicate characterPortrayed P1507 FINISHED
Object Michael Kovak E1057834 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: Michael Kovak | Statement: [The Rite, characterPortrayed, Michael Kovak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Kovak
Context triple: [The Rite, characterPortrayed, Michael Kovak]
  • A. Michael Kovak chosen
    Michael Kovak is a skeptical American seminary student who confronts questions of faith and demonic possession in the supernatural horror film "The Rite."
  • B. David Kajganich
    David Kajganich is an American screenwriter and producer known for his work on atmospheric horror and thriller projects such as the TV series "The Terror" and the film "Suspiria."
  • C. Jeff Jagodzinski
    Jeff Jagodzinski is an American football coach best known for his tenure as head coach at Boston College and his extensive experience as an offensive coach in both college football and the NFL.
  • D. Michael Kuzak
    Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
  • E. Pete Kozachik
    Pete Kozachik is an American cinematographer best known for his work on stop-motion animated films, including the cult classic "The Nightmare Before Christmas."
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ca07481909c45da551ea61ab4 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a83aeeb48190b92b00366791ab15 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:49 p.m.