Triple

T10533632
Position Surface form Disambiguated ID Type / Status
Subject Priscilla Pointer E248506 entity
Predicate relative P37 FINISHED
Object Jules Irving E49302 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: Jules Irving | Statement: [Priscilla Pointer, relative, Jules Irving]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jules Irving
Context triple: [Priscilla Pointer, relative, Jules Irving]
  • A. Jules Irving chosen
    Jules Irving was an influential American theater director, producer, and co-founder of the San Francisco Actor's Workshop who later led New York's Lincoln Center Repertory Company.
  • B. Len Williams
    Len Williams was a British classical guitar teacher and promoter best known as the father and early mentor of renowned guitarist John Williams.
  • C. Darryl Hickman
    Darryl Hickman is an American former child actor and film and television performer known for roles in classic Hollywood films and later work as a television executive and acting coach.
  • D. Darryl Morrow
    Darryl Morrow is an individual notable enough to be specifically cited as a bearer of the surname Morrow.
  • E. Mel Jackson
    Mel Jackson is an American actor known for his roles in film and television, including a prominent part in the romantic comedy "Deliver Us from Eva."
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a19b59c8190b00db7d5813ad37d completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9340da2948190950e7c0ceea12cb1 completed April 10, 2026, 5:31 p.m.
Created at: April 6, 2026, 12:31 p.m.