Triple

T13331218
Position Surface form Disambiguated ID Type / Status
Subject Ruben Fleischer E317575 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: [Ruben Fleischer, notableWork, Zombieland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zombieland
Context triple: [Ruben Fleischer, 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992fffa0819086610ae3bed2e2f9 completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f329e148190a7741344b27ea663 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:30 p.m.