Triple

T17030952
Position Surface form Disambiguated ID Type / Status
Subject Woody Harrelson E413190 entity
Predicate notableWork P4 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: [Woody Harrelson, notableWork, Zombieland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zombieland
Context triple: [Woody Harrelson, notableWork, 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 popular cooperative survival-horror game mode featuring waves of undead enemies, best known from its inclusion in Treyarch’s Call of Duty titles.
  • D. 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.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d9e7d481909d3d5bd241bd68f1 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ed2ad708190a250762997611569 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:33 a.m.