Triple

T20819622
Position Surface form Disambiguated ID Type / Status
Subject Scott Stewart E512537 entity
Predicate notableWork P4 FINISHED
Object Priest (2011 film) 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: Priest (2011 film) | Statement: [Scott Stewart, notableWork, Priest (2011 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Priest (2011 film)
Context triple: [Scott Stewart, notableWork, Priest (2011 film)]
  • A. The Priest
    The Priest is a pivotal religious figure in Franz Kafka's novel "The Trial," who delivers the parable "Before the Law" and offers a cryptic, unsettling perspective on guilt and justice.
  • B. The Priest
    "The Priest" is a reflective folk song by Joni Mitchell from her 1970 album "Ladies of the Canyon."
  • C. The Priest
    The Priest is the unnamed, charismatic and morally ambiguous Catholic clergyman from the television series "Fleabag," whose intense relationship with the protagonist became one of Andrew Scott’s most acclaimed roles.
  • D. The Priest
    The Priest is a supporting character in Miguel de Cervantes' "Don Quixote," a friend of the protagonist who often represents conventional wisdom and attempts to bring Don Quixote back to reality.
  • E. Priest chosen
    "Priest" is a 2011 post-apocalyptic action horror film loosely based on a Korean comic, featuring a warrior priest battling vampires in a dystopian world.
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f6a65481909a0df78616e185e4 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.