Triple

T15566420
Position Surface form Disambiguated ID Type / Status
Subject The Exorcist (TV series) E371125 entity
Predicate portrayedBy P1507 FINISHED
Object Alan Ruck E285612 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: Alan Ruck | Statement: [The Exorcist (TV series), portrayedBy, Alan Ruck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Ruck
Context triple: [The Exorcist (TV series), portrayedBy, Alan Ruck]
  • A. Alan Ruck chosen
    Alan Ruck is an American actor best known for his roles as Cameron Frye in "Ferris Bueller's Day Off" and Connor Roy in the television series "Succession."
  • B. Jason Miller
    Jason Miller was an American actor and playwright best known for his Oscar-nominated role as Father Damien Karras in the classic horror film "The Exorcist."
  • C. Jason Miller
    Jason Miller is a software engineer best known as the creator of the lightweight JavaScript library Preact.
  • D. Andrew McCarthy
    Andrew McCarthy is an American actor and director best known as a member of the 1980s "Brat Pack," with notable roles in films like "St. Elmo's Fire," "Pretty in Pink," and "Weekend at Bernie's."
  • E. Ed Begley
    Ed Begley was an American character actor and Academy Award winner known for his prolific film, television, and stage work in the mid-20th century.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddd753c8190b51eaef433258081 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f30e48881908b30a71796fe0d72 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:10 a.m.