Triple

T15674827
Position Surface form Disambiguated ID Type / Status
Subject Chris Makepeace E377412 entity
Predicate notableWork P4 FINISHED
Object Vamp E1115737 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: Vamp | Statement: [Chris Makepeace, notableWork, Vamp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vamp
Context triple: [Chris Makepeace, notableWork, Vamp]
  • A. Vamp chosen
    Vamp is a 1986 horror-comedy film about two college students who encounter a deadly vampire-run strip club, noted for its campy tone and Grace Jones’s striking performance.
  • B. Vamp Life
    Vamp Life is an independent hip hop record label founded by New York rapper Jim Jones, associated with his music releases and affiliated artists.
  • C. Vampiro
    Vampiro is a Canadian professional wrestler and commentator known for his dark, gothic persona and influential roles in Mexican and American lucha libre promotions.
  • D. Vamps
    Vamps is a 2012 comedy film directed by Amy Heckerling that follows two modern-day female vampires navigating love and nightlife in New York City.
  • E. Vampirina
    Vampirina is an animated Disney Junior television series that follows a young vampire girl adjusting to life in the human world after moving from Transylvania to Pennsylvania.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2c996c8190a9ebe0e92608feaa completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6edd85148190b6d5c3981204dd77 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:16 a.m.