Triple

T12424863
Position Surface form Disambiguated ID Type / Status
Subject The Mechanic E296870 entity
Predicate starring P1507 FINISHED
Object Jill Ireland E792328 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: Jill Ireland | Statement: [The Mechanic, starring, Jill Ireland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jill Ireland
Context triple: [The Mechanic, starring, Jill Ireland]
  • A. Jill Ireland chosen
    Jill Ireland was a British-born actress and author best known for her film and television roles and for her public battle with cancer, as well as her marriage to actor Charles Bronson.
  • B. Claire Jackman
    Claire Jackman is a fictional character portrayed by actress Gina Bellman, known from her work in British television and film.
  • C. Julia Mary Walters
    Julia Mary Walters is an acclaimed English actress and author known for her versatile performances in film, television, and theatre, including roles in "Educating Rita," "Billy Elliot," and the "Harry Potter" series.
  • D. Lisa Sheridan
    Lisa Sheridan is the troubled protagonist of the psychological thriller film "Obsessed," whose fixation drives the story's escalating tension and conflict.
  • E. Lisa Sheridan
    Lisa Sheridan is an American actress best known for her roles on television series such as "Invasion," "FreakyLinks," and "Halt and Catch Fire."
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7b6bd08190b30beba393a5b1e7 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718723bc8190987fa56147712851 completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:55 p.m.