Triple

T5249226
Position Surface form Disambiguated ID Type / Status
Subject Tara Reid E118541 entity
Predicate notableWork P4 FINISHED
Object Van Wilder E332397 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: Van Wilder | Statement: [Tara Reid, notableWork, Van Wilder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Van Wilder
Context triple: [Tara Reid, notableWork, Van Wilder]
  • A. Van Wilder chosen
    Van Wilder is a 2002 college comedy film best known for starring Ryan Reynolds as an endlessly charismatic, party-loving student.
  • B. Quentin Jacobsen
    Quentin Jacobsen is the introspective teenage protagonist of John Green’s novel "Paper Towns," whose search for his enigmatic neighbor Margo Roth Spiegelman drives the story’s coming-of-age journey.
  • C. Will Schuester
    Will Schuester is a central character on the television series "Glee," serving as the optimistic and dedicated director of the high school glee club.
  • D. Harvey Fletcher
    Harvey Fletcher was an American physicist and acoustical engineer renowned as a pioneer of stereophonic sound and psychoacoustics.
  • E. Nathan Dane
    Nathan Dane was an American lawyer and statesman best known for drafting the Northwest Ordinance of 1787, which shaped the early expansion and governance of the United States.
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b787b34819081af96de9355bb4f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef83998f881909fef2746f5c496af completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:50 p.m.