Triple

T3237328
Position Surface form Disambiguated ID Type / Status
Subject Alex Gibney E67884 entity
Predicate directed P7373 FINISHED
Object Zero Days E340351 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: Zero Days | Statement: [Alex Gibney, directed, Zero Days]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zero Days
Context triple: [Alex Gibney, directed, Zero Days]
  • A. Zero Days chosen
    Zero Days is a 2016 documentary film by Alex Gibney that investigates the Stuxnet computer worm and the covert world of state-sponsored cyber warfare.
  • B. Invasion Day
    Invasion Day is a term used by critics of Australia Day to highlight and protest the colonization of Australia and its ongoing impacts on Indigenous peoples.
  • C. No Tomorrow
    "No Tomorrow" is a song featured on the album B7 by American singer and actress Brandy.
  • D. No Tomorrow
    "No Tomorrow" is a pop-punk song by the American rock band Busted, released as a single from their third studio album "Night Driver."
  • E. Bleeding Edge
    Bleeding Edge is a 2013 postmodern detective novel by Thomas Pynchon that explores the intersection of technology, capitalism, and conspiracy in New York City around the time of the dot-com crash and 9/11.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef29bf48190a9aa3a39f0138428 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ea696a08190a17cbeeef7632977 completed March 12, 2026, 10 a.m.
Created at: March 8, 2026, 3:08 p.m.