Triple

T13402714
Position Surface form Disambiguated ID Type / Status
Subject Lawrence Jamieson E319871 entity
Predicate screenwriterOfWork P25235 FINISHED
Object Dale Launer E307577 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: Dale Launer | Statement: [Lawrence Jamieson, screenwriterOfWork, Dale Launer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dale Launer
Context triple: [Lawrence Jamieson, screenwriterOfWork, Dale Launer]
  • A. Dale Launer chosen
    Dale Launer is an American screenwriter and film producer best known for writing hit comedies such as "Dirty Rotten Scoundrels" and "My Cousin Vinny."
  • B. Dale Beldin
    Dale Beldin is a film editor best known for his work on the action-comedy movie "Beverly Hills Cop III."
  • C. Dennis Egan
    Dennis Egan is an American politician from Alaska who served as mayor of Juneau and later as a member of the Alaska State Senate.
  • D. Dale Eunson
    Dale Eunson was an American writer and magazine editor best known for his short stories and screenwriting work in mid-20th-century Hollywood.
  • E. Duane Schuler
    Duane Schuler is an American theatrical lighting designer known for his work in opera, including major productions at leading opera houses.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4982e0819087a9fcb2fa88541f completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739857dd4819087e64b956a814939 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:34 p.m.