Triple

T14600511
Position Surface form Disambiguated ID Type / Status
Subject Snow Dogs E342691 entity
Predicate director P255 FINISHED
Object Brian Levant E880622 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: Brian Levant | Statement: [Snow Dogs, director, Brian Levant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Levant
Context triple: [Snow Dogs, director, Brian Levant]
  • A. Brian Levant chosen
    Brian Levant is an American film and television director best known for family comedies such as "Beethoven," "The Flintstones," and "Jingle All the Way."
  • B. Eitan Berglas
    Eitan Berglas was a prominent Israeli economist and academic leader known for his influential research in public finance and his role in shaping Israel’s economic policy and higher education.
  • C. Jason Blumenthal
    Jason Blumenthal is an American film producer known for his work on a variety of Hollywood feature films, including the comedy-drama "Troop Zero."
  • D. Jon Rubinstein
    Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
  • E. Uri Levine
    Uri Levine is an Israeli entrepreneur best known as the co-founder of the GPS navigation app Waze, which was acquired by Google.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5c9a6748190878efa4970ce2b04 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:25 a.m.