Triple

T8340893
Position Surface form Disambiguated ID Type / Status
Subject Ann Romano E195909 entity
Predicate hasChild P369 FINISHED
Object Julie Cooper E188408 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: Julie Cooper | Statement: [Ann Romano, hasChild, Julie Cooper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Cooper
Context triple: [Ann Romano, hasChild, Julie Cooper]
  • A. Julie Cooper chosen
    Julie Cooper is a central character in the 1970s–80s American sitcom "One Day at a Time," portrayed as one of Ann Romano’s teenage daughters navigating family and personal challenges.
  • B. Maria Cole
    Maria Cole was an American jazz singer and television personality best known as the wife of legendary musician Nat King Cole and the mother of singer Natalie Cole.
  • C. Alison Cross
    Alison Cross is an American screenwriter known for her work on socially conscious television films and dramas, including the acclaimed biographical TV movie "Serving in Silence: The Margarethe Cammermeyer Story."
  • D. Stephanie Bishop
    Stephanie Bishop is an actress known for her role in the British drama film "Looking for Eric," directed by Ken Loach.
  • E. Sarah Alexander
    Sarah Alexander is a British actress best known for her roles in television comedies such as "Coupling" and "Green Wing."
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fe8989481909b32d4bfd586372d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc72bc43c81909d95c7eb6aefc403 completed April 2, 2026, 1:32 a.m.
Created at: March 30, 2026, 5:57 p.m.