Triple

T15017709
Position Surface form Disambiguated ID Type / Status
Subject Closing Time E377998 entity
Predicate starsActor P5563 FINISHED
Object Lynda Baron E867773 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: Lynda Baron | Statement: [Closing Time, starsActor, Lynda Baron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lynda Baron
Context triple: [Closing Time, starsActor, Lynda Baron]
  • A. Lynda Baron chosen
    Lynda Baron was an English actress and singer best known for her roles in the TV series "Open All Hours," its sequel "Still Open All Hours," and the children's show "Come Outside."
  • B. Eve Lydon
    Eve Lydon is a supporting character in the action film "Crank: High Voltage," involved in the chaotic, high-energy world surrounding protagonist Chev Chelios.
  • C. Beverly Gage
    Beverly Gage is an American historian and Yale professor known for her scholarship on 20th-century U.S. political history and her acclaimed biography of FBI director J. Edgar Hoover.
  • D. Renee Luskin
    Renee Luskin is a philanthropist and benefactor whose support and contributions led to the naming of UCLA’s Luskin School of Public Affairs in her honor.
  • E. Barbara Leeds
    Barbara Leeds was an American actress best known for her film and television 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7633fcc8190b2231f43252bc46f completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96ae110c8190a0555590b9ddb36a completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:55 a.m.