Triple

T15435888
Position Surface form Disambiguated ID Type / Status
Subject Made in America E369760 entity
Predicate editedBy P1954 FINISHED
Object Jacqueline Cambas E425480 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: Jacqueline Cambas | Statement: [Made in America, editedBy, Jacqueline Cambas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacqueline Cambas
Context triple: [Made in America, editedBy, Jacqueline Cambas]
  • A. Jacqueline Cambas chosen
    Jacqueline Cambas is a film editor known for her work on the movie "Now and Then."
  • B. Camile Velasco
    Camile Velasco is a Filipino-American singer who gained national recognition as a finalist on the third season of the television talent show American Idol.
  • C. Marlene Mathias
    Marlene Mathias is known as the daughter of American Olympic decathlon champion and politician Bob Mathias.
  • D. Carmen Larbalestier
    Carmen Larbalestier is a British woman best known as the mother of seven-time Formula One World Champion Lewis Hamilton.
  • E. Jacqueline Cruz
    Jacqueline Cruz was the late mother of NBA star Karl-Anthony Towns, remembered for her close support of his career and her widely publicized death from COVID-19 complications.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edb3ec481908b26164d4470c9bc completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c3293dc819097f9e56963c333ee completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 3:21 a.m.