Triple

T15440784
Position Surface form Disambiguated ID Type / Status
Subject Robot & Frank E369893 entity
Predicate director P255 FINISHED
Object Jake Schreier E329009 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: Jake Schreier | Statement: [Robot & Frank, director, Jake Schreier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jake Schreier
Context triple: [Robot & Frank, director, Jake Schreier]
  • A. Jake Schreier chosen
    Jake Schreier is an American film and music video director known for movies such as "Paper Towns" and "Robot & Frank."
  • B. Josh Schaeffer
    Josh Schaeffer is a film editor known for his work on major studio features, including the monster crossover blockbuster "Godzilla vs. Kong."
  • C. Aaron Burckhard
    Aaron Burckhard is an American drummer best known as one of the earliest drummers for the grunge band Nirvana during its formative years.
  • D. Jason Kehler
    Jason Kehler is a sports administrator who serves as the athletic director for the Dolphins athletic program.
  • E. Josh Sborz
    Josh Sborz is an American professional baseball pitcher known for his standout collegiate career at the University of Virginia, where he helped lead the Cavaliers to a national championship.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03eddf258819082679970b7d2b6af completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf0a12e081908d7d2ae7c9774f94 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 3:21 a.m.