Triple

T14045996
Position Surface form Disambiguated ID Type / Status
Subject Awake E337956 entity
Predicate hasTrack P3284 FINISHED
Object Vampires E713042 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: Vampires | Statement: [Awake, hasTrack, Vampires]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vampires
Context triple: [Awake, hasTrack, Vampires]
  • A. Vampires chosen
    "Vampires" is a song featured on the album *Nightlife*, likely reflecting its dark, nocturnal themes.
  • B. Vampire
    Vampire is a suspended swinging roller coaster at Chessington World of Adventures in the UK, themed around a gothic vampire castle.
  • C. Vampire
    "Vampire" is a famous 1895 painting by Norwegian artist Edvard Munch, depicting a woman with flowing red hair bending over a man's neck in a dark, intimate embrace.
  • D. Vampire
    "Vampire" is a song featured on the album *So Help Me God!* by 2 Chainz.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de312df37081909f45ce3e219af5dc completed April 14, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc34148348190a8c67e035646e431 completed May 6, 2026, 10:40 p.m.
Created at: April 9, 2026, 10:20 p.m.