Triple

T16008730
Position Surface form Disambiguated ID Type / Status
Subject Dana Goldberg E388283 entity
Predicate notableWork P4 FINISHED
Object World War Z E199792 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: World War Z | Statement: [Dana Goldberg, notableWork, World War Z]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: World War Z
Context triple: [Dana Goldberg, notableWork, World War Z]
  • A. World War Z chosen
    World War Z is a 2013 apocalyptic action-horror film starring Brad Pitt that depicts a global zombie pandemic and humanity’s desperate efforts to survive.
  • B. Zombie Apocalypse
    Zombie Apocalypse is a post-apocalyptic survival video game centered on battling hordes of the undead in a bleak, overrun world.
  • C. Zombieland
    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.
  • 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. 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.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15801a58881909805d0b90011e6ff completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf22db3481909141ddef151d0341 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.