Triple

T22454499
Position Surface form Disambiguated ID Type / Status
Subject Harley Quinn Smith E555079 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: [Harley Quinn Smith, notableWork, Tusk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tusk
Context triple: [Harley Quinn Smith, 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
    Komo is a town located in Hela Province in the Highlands region of Papua New Guinea.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4e2bd4819083e5bed44e9776c6 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.