Triple

T13392650
Position Surface form Disambiguated ID Type / Status
Subject Young at Heart E319613 entity
Predicate starring P1507 FINISHED
Object Elisabeth Fraser E689015 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: Elisabeth Fraser | Statement: [Young at Heart, starring, Elisabeth Fraser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elisabeth Fraser
Context triple: [Young at Heart, starring, Elisabeth Fraser]
  • A. Elisabeth Fraser chosen
    Elisabeth Fraser was an American character actress known for her roles in mid-20th-century film and television, often portraying brassy or comedic supporting characters.
  • B. Elizabeth Frazer
    Elizabeth Frazer was the wife of influential Tammany Hall political boss Richard Croker, associated with New York City’s late 19th-century Democratic political machine.
  • C. Elisabeth Farquharson
    Elisabeth Farquharson was an 18th-century Scottish gentlewoman best known as the wife of the jurist and early evolutionary thinker James Burnett, Lord Monboddo.
  • D. Elizabeth Frances Fraser
    Elizabeth Frances Fraser was the wife of British soldier and politician Leonard Darwin, son of the naturalist Charles Darwin.
  • E. Muriel Fraser
    Muriel Fraser was the wife of English poet Ralph Hodgson, a key figure in his personal life and literary milieu.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d74e5881909828854bba7d9a87 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f754734db081909f262fa2325b7e6d completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:34 p.m.