Triple

T19868219
Position Surface form Disambiguated ID Type / Status
Subject Legally Blonde E477445 entity
Predicate character P662 FINISHED
Object Elle Woods NE NERFINISHED

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: Elle Woods | Statement: [Legally Blonde, character, Elle Woods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elle Woods
Context triple: [Legally Blonde, character, Elle Woods]
  • A. Elle Woods chosen
    Elle Woods is a fashionable, determined sorority president who defies stereotypes by pursuing a law degree at Harvard to prove her intelligence and independence.
  • B. Paris Geller
    Paris Geller is an ambitious, hyper-competitive, and sharp-tongued overachiever who becomes one of Rory Gilmore’s closest friends and rivals in the television series "Gilmore Girls."
  • C. Emma Wibberly
    Emma Wibberly is a fictional character appearing in John Stephens' fantasy novel "The Fire Chronicle," part of the Books of Beginning series.
  • D. Amy Schor Ferris
    Amy Schor Ferris is an American author, screenwriter, and feminist essayist known for her candid, humorous explorations of women’s lives, aging, and identity.
  • E. Lauren Montgomery
    Lauren Montgomery is an American animation director and storyboard artist best known for her work on DC Comics animated films and series, including multiple Justice League and Batman projects.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658a168288190a2fbb735d1fd30a8 completed April 20, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:51 p.m.