Triple

T2124624
Position Surface form Disambiguated ID Type / Status
Subject Cars E46398 entity
Predicate producer P490 FINISHED
Object Darla K. Anderson E312560 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: Darla K. Anderson | Statement: [Cars, producer, Darla K. Anderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darla K. Anderson
Context triple: [Cars, producer, Darla K. Anderson]
  • A. Darla K. Anderson chosen
    Darla K. Anderson is an American film producer best known for her work on several acclaimed Pixar animated features.
  • B. Dorothy E. Davis
    Dorothy E. Davis was the lead student plaintiff in the Virginia school desegregation case Davis v. County School Board of Prince Edward County, one of the five cases consolidated into the landmark Supreme Court decision Brown v. Board of Education.
  • C. Kimberly S. Budd
    Kimberly S. Budd is an American jurist who serves as the Chief Justice of the Massachusetts Supreme Judicial Court.
  • D. Barbara Heinzen
    Barbara Heinzen was the wife of William Colby, the former Director of Central Intelligence of the United States.
  • E. Shirley N. Weber
    Shirley N. Weber is an American politician and academic who became California’s first African American Secretary of State after serving in the State Assembly and as a longtime educator.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb55cb2c8190aab8199da3335032 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69b24a9a49e481908f1916cbff31d908 completed March 12, 2026, 5:09 a.m.
Created at: March 4, 2026, 7:44 p.m.