Triple

T11079761
Position Surface form Disambiguated ID Type / Status
Subject Scream film series E261958 entity
Predicate featuresActor P15562 FINISHED
Object Jamie Kennedy E286394 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: Jamie Kennedy | Statement: [Scream film series, featuresActor, Jamie Kennedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamie Kennedy
Context triple: [Scream film series, featuresActor, Jamie Kennedy]
  • A. Jamie Kennedy chosen
    Jamie Kennedy is an American actor and comedian best known for his roles in films like the "Scream" series and various television and stand-up comedy projects.
  • B. Justin Kennedy
    Justin Kennedy is an American lawyer and former Deutsche Bank executive best known as the son of former U.S. Supreme Court Justice Anthony Kennedy.
  • C. Max Kennedy
    Max Kennedy is an American lawyer, environmental advocate, and author, and a member of the prominent Kennedy political family.
  • D. Cheryl Kennedy
    Cheryl Kennedy is a British actress known for her work in theatre and television, and for her former marriage to actor Tom Courtenay.
  • E. Maria Doyle Kennedy
    Maria Doyle Kennedy is an Irish actress and singer best known internationally for her acclaimed role as Queen Catherine of Aragon in the historical drama series "The Tudors."
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7999603948190934bca3a9151d726 completed April 9, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e77a78288190aa76912e0fa821b5 completed April 18, 2026, 8:20 p.m.
Created at: April 8, 2026, 9:27 p.m.