Triple

T20239156
Position Surface form Disambiguated ID Type / Status
Subject Lust for Life E498233 entity
Predicate hasPersonnel P1211 FINISHED
Object Hunt Sales 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: Hunt Sales | Statement: [Lust for Life, hasPersonnel, Hunt Sales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunt Sales
Context triple: [Lust for Life, hasPersonnel, Hunt Sales]
  • A. Hunt Sales chosen
    Hunt Sales is an American rock drummer best known for his work with Iggy Pop and as a member of David Bowie's band Tin Machine.
  • B. Sellin
    Sellin is a seaside resort town on the German island of Rügen, known for its historic pier and Baltic Sea beaches.
  • C. Hunt Midwest
    Hunt Midwest is a Kansas City–based real estate development company involved in large-scale commercial, industrial, and residential projects.
  • D. Hall n Nash
    Hall n Nash is a hip-hop duo consisting of rappers Westside Gunn and Conway the Machine, known for their gritty, sample-heavy underground rap associated with the Griselda collective.
  • E. Hunt-Bovis
    Hunt-Bovis is a construction joint venture known for managing major stadium and large-scale building projects.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716c8de88190916bfa1d6b7f79cb completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.