Triple

T13720181
Position Surface form Disambiguated ID Type / Status
Subject Jake Schreier E329009 entity
Predicate name P16 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: [Jake Schreier, name, Jake Schreier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jake Schreier
Context triple: [Jake Schreier, name, 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd439a121c81908cae964e7756274c completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdeed4548819082038c5b88ccd212 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 9:55 p.m.