Triple

T10605049
Position Surface form Disambiguated ID Type / Status
Subject Connor Roy E275850 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: [Connor Roy, portrayedBy, Alan Ruck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Ruck
Context triple: [Connor Roy, 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4a5df88190b993196ca7849a88 completed April 8, 2026, 11:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9989a7aec8190bcf06a93da61647d completed April 11, 2026, 12:40 a.m.
Created at: April 8, 2026, 7:32 p.m.