Triple

T16125191
Position Surface form Disambiguated ID Type / Status
Subject Paul Wernick E391249 entity
Predicate coWriterOf P2389 FINISHED
Object Zombieland E142421 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: Zombieland | Statement: [Paul Wernick, coWriterOf, Zombieland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zombieland
Context triple: [Paul Wernick, coWriterOf, Zombieland]
  • A. Zombieland chosen
    Zombieland is a 2009 horror-comedy film about a group of survivors navigating a zombie apocalypse with a mix of humor, gore, and quirky survival rules.
  • B. Zombieland: Double Tap
    Zombieland: Double Tap is a 2019 horror-comedy film that serves as the sequel to the original Zombieland, following its band of survivors through new zombie threats and comedic misadventures.
  • C. Zombies
    "Zombies" is a funk- and soul-infused track by Childish Gambino from his album "Awaken, My Love!" that explores themes of exploitation and emotional detachment.
  • D. Zombies
    Zombies is a popular cooperative survival-horror game mode featuring waves of undead enemies, best known from its inclusion in Treyarch’s Call of Duty titles.
  • E. Zombie
    Zombie is a popular Monster Jam truck themed as a decaying, undead creature, known for its outstretched arms and theatrical, horror-inspired 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020408a88190bf3dfc893d577c55 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffeef277481908ab35bbff06c827a completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5 a.m.