Triple

T6332802
Position Surface form Disambiguated ID Type / Status
Subject Zombieland E142421 entity
Predicate screenwriter P2831 FINISHED
Object Paul Wernick E391249 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: Paul Wernick | Statement: [Zombieland, screenwriter, Paul Wernick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Wernick
Context triple: [Zombieland, screenwriter, Paul Wernick]
  • A. Paul Wernick chosen
    Paul Wernick is an American screenwriter best known for co-writing the hit Deadpool films and other major Hollywood action-comedies.
  • B. Sam Levenson
    Sam Levenson was an American humorist, writer, and television host known for his warm, family-centered Jewish humor and popular books such as "Everything But Money."
  • C. Vince Welnick
    Vince Welnick was an American keyboardist and singer best known for serving as the Grateful Dead’s final keyboard player from 1990 until the band’s dissolution in 1995.
  • D. Andrew Weisblum
    Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
  • E. Edwin Schlossberg
    Edwin Schlossberg is an American designer, artist, and author known for his innovative work in interactive museum and exhibition design.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0651634b08190b54860ba0a70f5c4 completed March 22, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eec399f8819096e1db3ff6abd280 completed March 27, 2026, 8:55 p.m.
Created at: March 22, 2026, 4:30 p.m.