Triple

T22496281
Position Surface form Disambiguated ID Type / Status
Subject View Askew Productions E556148 entity
Predicate notableWork P4 FINISHED
Object Tusk NE NERFINISHED

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: Tusk | Statement: [View Askew Productions, notableWork, Tusk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tusk
Context triple: [View Askew Productions, notableWork, Tusk]
  • A. Tusk chosen
    Tusk is a 2014 horror-comedy film written and directed by Kevin Smith about a podcaster who is grotesquely transformed into a walrus by a deranged seafarer.
  • B. Tusk
    Tusk is a Polish surname most prominently associated with Donald Tusk, a leading Polish and European Union politician.
  • C. Tusk
    Tusk is a 1979 double album by Fleetwood Mac, known for its experimental production and ambitious scope following the massive success of Rumours.
  • D. Tusk
    Tusk is the live Russian boar mascot that represents the University of Arkansas Razorbacks football team at games and events.
  • E. Komo
    The Komo are an ethnic group indigenous to western Ethiopia, particularly associated with the Gambela Region, with their own distinct language and cultural traditions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5445bc8190b6a9481926db3355 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15cb2644c819094864bd88bcebcbd completed April 29, 2026, 1:19 a.m.
Created at: April 16, 2026, 8:50 p.m.