Triple

T3406508
Position Surface form Disambiguated ID Type / Status
Subject Tyne Daly E71785 entity
Predicate name P16 FINISHED
Object Tyne Daly E71785 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: Tyne Daly | Statement: [Tyne Daly, name, Tyne Daly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyne Daly
Context triple: [Tyne Daly, name, Tyne Daly]
  • A. Tyne Daly chosen
    Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
  • B. Kristy McNichol
    Kristy McNichol is an American actress best known for her Emmy-winning role on the TV drama "Family" and her work in films like "Little Darlings" and "Only When I Laugh."
  • C. 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.
  • D. Tamara Tunie
    Tamara Tunie is an American actress and director best known for her long-running role as medical examiner Melinda Warner on the television series "Law & Order: Special Victims Unit."
  • E. Lori Petty
    Lori Petty is an American actress best known for her energetic roles in films like "Point Break," "Tank Girl," and the baseball classic "A League of Their Own."
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8ec68c88190913df5f6cafad9e9 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4881cd6f081908981db17758146f7 completed March 13, 2026, 9:56 p.m.
Created at: March 8, 2026, 3:15 p.m.