Triple

T5423163
Position Surface form Disambiguated ID Type / Status
Subject Everything Must Go E121298 entity
Predicate screenwriter P2831 FINISHED
Object Dan Rush E519687 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: Dan Rush | Statement: [Everything Must Go, screenwriter, Dan Rush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Rush
Context triple: [Everything Must Go, screenwriter, Dan Rush]
  • A. Dan Rush chosen
    Dan Rush is an American filmmaker and screenwriter best known for writing and directing the 2010 dramedy film "Everything Must Go" starring Will Ferrell.
  • B. Tim Meadows
    Tim Meadows is an American actor and comedian best known as a longtime cast member on "Saturday Night Live" and for his roles in films and television comedies.
  • C. Rich Gooch
    Rich Gooch is a musician best known as a member of the American rock band Quarterflash.
  • D. Tom Raper
    Tom Raper was an American businessman and prominent Indiana RV dealer known for his large-scale dealership and philanthropic contributions, particularly in education.
  • E. Al Bennett
    Al Bennett was an American music industry executive best known as the founder and longtime leader of the influential record label Liberty Records.
  • 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_69bd463b58d88190b258261573de9e91 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8812f84c819094d8516f69fff83d completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4123bab881908379e7612d5b39b9 completed March 22, 2026, 1:08 a.m.
Created at: March 20, 2026, 2:06 p.m.