Triple

T11715294
Position Surface form Disambiguated ID Type / Status
Subject Nancy Allen E278479 entity
Predicate coStarredWith P14987 FINISHED
Object Craig Wasson E867701 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: Craig Wasson | Statement: [Nancy Allen, coStarredWith, Craig Wasson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Wasson
Context triple: [Nancy Allen, coStarredWith, Craig Wasson]
  • A. Craig Wasson chosen
    Craig Wasson is an American actor best known for his roles in films such as "Body Double" and "A Nightmare on Elm Street 3: Dream Warriors."
  • B. Dave Wasson
    Dave Wasson is an American animator, director, and producer known for his work on television series such as Star vs. the Forces of Evil and other animated projects.
  • C. Dan Woolsey
    Dan Woolsey is an entrepreneur and media professional best known as a founder of the African American–focused news and entertainment platform TheGrio.
  • D. Bruce Yarnell
    Bruce Yarnell was an American baritone singer and stage and television actor known for his performances in Broadway musicals and operas during the 1960s.
  • E. Paul Kellogg
    Paul Kellogg was an American opera administrator and impresario best known for his influential leadership roles at major U.S. opera companies, where he championed innovative productions and contemporary works.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4bf54d88190a8e07fbbf8d9e962 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8397a4ac8190a71dfdd53bfa168a completed April 27, 2026, 3:41 p.m.
Created at: April 8, 2026, 9:40 p.m.