Triple

T12333538
Position Surface form Disambiguated ID Type / Status
Subject Blow Dry E294021 entity
Predicate hasCastMember P2308 FINISHED
Object Rachael Leigh Cook E665609 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: Rachael Leigh Cook | Statement: [Blow Dry, hasCastMember, Rachael Leigh Cook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachael Leigh Cook
Context triple: [Blow Dry, hasCastMember, Rachael Leigh Cook]
  • A. Rachael Leigh Cook chosen
    Rachael Leigh Cook is an American actress and producer best known for her breakout role in the 1999 teen romantic comedy film "She's All That."
  • B. Tiffani Thiessen
    Tiffani Thiessen is an American actress best known for her roles on the television series "Saved by the Bell" and "Beverly Hills, 90210."
  • C. Paget Brewster
    Paget Brewster is an American actress best known for her roles in television series such as "Criminal Minds," "Friends," and various comedic and voice-acting projects.
  • D. Claudia Christian
    Claudia Christian is an American actress best known for her role as Commander Susan Ivanova on the science fiction television series "Babylon 5."
  • E. Laura Kugler
    Laura Kugler was the wife of Victor Kugler, one of the helpers who hid Anne Frank and her family during World War II.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f64ad20819080d99e57833b4b51 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65e9e909081909b341398e7aae954 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:53 p.m.