Triple

T13791653
Position Surface form Disambiguated ID Type / Status
Subject Bring It On E331412 entity
Predicate screenwriter P2831 FINISHED
Object Jessica Bendinger E649377 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: Jessica Bendinger | Statement: [Bring It On, screenwriter, Jessica Bendinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessica Bendinger
Context triple: [Bring It On, screenwriter, Jessica Bendinger]
  • A. Jessica Bendinger chosen
    Jessica Bendinger is an American screenwriter and director best known for writing the hit cheerleading film "Bring It On" and other teen-focused comedies.
  • B. Rachel Buehler
    Rachel Buehler is an American former professional soccer defender who played for the U.S. women’s national team and in Women’s Professional Soccer.
  • C. Lisa Eilbacher
    Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
  • D. Laura Deibel
    Laura Deibel is the former wife of American actor and comedian Tim Allen, with whom she was married for several years before their divorce in 2003.
  • E. Nicole Becker
    Nicole Becker was the wife of influential French Marxist philosopher and sociologist Henri Lefebvre.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0258a1408190a837d17c6d6a2bd4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd3cfae6bc8190ac6851a3fa2dfb12 completed May 8, 2026, 1:31 a.m.
Created at: April 9, 2026, 10:11 p.m.