Triple

T21256751
Position Surface form Disambiguated ID Type / Status
Subject Dave Hollister E523888 entity
Predicate associatedAct P37 FINISHED
Object Tank 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: Tank | Statement: [Dave Hollister, associatedAct, Tank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tank
Context triple: [Dave Hollister, associatedAct, Tank]
  • A. Tank
    Tank is a London-based art and fashion magazine known for its independent, avant-garde editorial approach and collaborations with experimental cultural projects.
  • B. Tank
    Tank is a town in Pakistan’s Khyber Pakhtunkhwa province, known as the administrative center of Tank District near the Gomal River.
  • C. Tank chosen
    Tank is a British heavy metal band associated with the New Wave of British Heavy Metal movement, known for its raw sound and wartime-themed lyrics.
  • D. Tank
    "Tank" is a 1984 American comedy-drama film starring James Garner as a U.S. Army sergeant who uses his personal tank to stand up against local corruption.
  • E. Tank
    Tank is a German aeronautical engineer best known for designing the Focke-Wulf Fw 190 fighter aircraft used by the Luftwaffe during World War II.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735a1f9e08190b494f582bcae5c35 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:58 p.m.