Triple

T9790127
Position Surface form Disambiguated ID Type / Status
Subject Bleed for This E237584 entity
Predicate characterPortrayedBy P1507 FINISHED
Object Katey Sagal E76509 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: Katey Sagal | Statement: [Bleed for This, characterPortrayedBy, Katey Sagal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katey Sagal
Context triple: [Bleed for This, characterPortrayedBy, Katey Sagal]
  • A. Katey Sagal chosen
    Katey Sagal is an American actress and singer best known for her television roles, including Peggy Bundy on "Married... with Children" and Gemma Teller Morrow on "Sons of Anarchy."
  • B. Jorja Fox
    Jorja Fox is an American actress best known for her long-running role as Sara Sidle on the television series CSI: Crime Scene Investigation.
  • C. Mary Lynn Rajskub
    Mary Lynn Rajskub is an American actress and comedian best known for her role as Chloe O'Brian on the television series "24."
  • D. Cybill Shepherd
    Cybill Shepherd is an American actress and former model best known for her roles in films like "The Last Picture Show" and the TV series "Moonlighting."
  • E. Jill Eikenberry
    Jill Eikenberry is an American actress best known for her Emmy-nominated role as attorney Ann Kelsey on the television series "L.A. Law."
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda215b3108190a897552e1dc91cc4 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d23ceca020819080f310f84669551a completed April 5, 2026, 10:43 a.m.
Created at: March 30, 2026, 8:28 p.m.