Triple

T10794928
Position Surface form Disambiguated ID Type / Status
Subject Eleanor Powell E254679 entity
Predicate child P120 FINISHED
Object Peter Ford E875746 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: Peter Ford | Statement: [Eleanor Powell, child, Peter Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Ford
Context triple: [Eleanor Powell, child, Peter Ford]
  • A. Peter Ford chosen
    Peter Ford is the son of classic Hollywood actor Glenn Ford and has worked as an actor, producer, and biographer of his father.
  • B. Luke Ford
    Luke Ford is an Australian actor best known for his roles in film and television, including a prominent part in the crime drama "Animal Kingdom."
  • C. Robert Parrish
    Robert Parrish was an American film editor and director, as well as a former child actor, known for his work on several classic Hollywood films.
  • D. John Raitt
    John Raitt was a prominent American musical theatre actor and baritone best known for his leading roles in classic Broadway productions such as "Carousel" and "The Pajama Game."
  • E. Stan Ford
    Stan Ford is an alternative spelling or variant form of the name "Stanford," which is commonly associated with the prestigious Stanford University and the surname or given name Stanford.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733321dd881909dcd4224dfa9822a completed April 9, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5654e2c48190a8f078b8164707e2 completed April 14, 2026, 2:59 p.m.
Created at: April 8, 2026, 9:17 p.m.