Triple

T12358216
Position Surface form Disambiguated ID Type / Status
Subject Harold & Kumar Go to White Castle E294665 entity
Predicate director P255 FINISHED
Object Danny Leiner E835578 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: Danny Leiner | Statement: [Harold & Kumar Go to White Castle, director, Danny Leiner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny Leiner
Context triple: [Harold & Kumar Go to White Castle, director, Danny Leiner]
  • A. Danny Leiner chosen
    Danny Leiner was an American film and television director best known for his work on stoner comedies such as "Dude, Where's My Car?" and "Harold & Kumar Go to White Castle."
  • B. Michael Leibert
    Michael Leibert was an American theater director and producer best known for establishing the influential Berkeley Repertory Theatre in California.
  • C. Mark Leiter
    Mark Leiter is a former Major League Baseball pitcher who played primarily in the 1990s and is part of a well-known baseball family.
  • D. Justin Elicker
    Justin Elicker is an American politician who serves as the mayor of New Haven, Connecticut, known for his focus on urban development, education, and social equity.
  • E. Eric Ladin
    Eric Ladin is an American actor known for his roles in television series such as "Generation Kill," "The Killing," and "Boardwalk Empire."
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8e64dc81908c2242c68cd1b86e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66854281c8190bd8d21d501cddb89 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:54 p.m.