Triple

T10437925
Position Surface form Disambiguated ID Type / Status
Subject One-Trick Pony E246089 entity
Predicate starring P1507 FINISHED
Object Joan Hackett E691151 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: Joan Hackett | Statement: [One-Trick Pony, starring, Joan Hackett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan Hackett
Context triple: [One-Trick Pony, starring, Joan Hackett]
  • A. Joan Hackett chosen
    Joan Hackett was an American actress known for her acclaimed work in film, television, and theater during the 1960s and 1970s, often portraying complex, intelligent female characters.
  • B. Joan Hotchkis
    Joan Hotchkis was an American actress and writer known for her work in film, television, and theater during the mid-20th century.
  • C. Barbara Hackett
    Barbara Hackett is a Canadian businesswoman and home renovator best known as the wife of former Toronto mayor John Tory.
  • D. Joan Haverty
    Joan Haverty was an American woman best known as the second wife of Beat Generation writer Jack Kerouac and the mother of his only acknowledged child, Jan Kerouac.
  • E. Joanne Herring
    Joanne Herring is a Houston socialite, political activist, and businesswoman known for her influential role in supporting U.S. involvement with Afghan resistance fighters during the Soviet–Afghan War.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9ba23c81909eac3aea292b2bd3 completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6554d0b0081909cc031ff06b796c0 completed May 2, 2026, 7:49 p.m.
Created at: April 6, 2026, 12:14 p.m.