Triple

T16283781
Position Surface form Disambiguated ID Type / Status
Subject Crista Flanagan E395334 entity
Predicate notableWork P4 FINISHED
Object Vampires Suck E837691 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 Suck | Statement: [Crista Flanagan, notableWork, Vampires Suck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vampires Suck
Context triple: [Crista Flanagan, notableWork, Vampires Suck]
  • A. Vampires Suck chosen
    Vampires Suck is a 2010 parody film that satirizes the Twilight series and other contemporary vampire-themed pop culture.
  • B. Vampires
    "Vampires" is a song featured on the album *Nightlife*, likely reflecting its dark, nocturnal themes.
  • C. 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.
  • D. Os Vampiros
    Os Vampiros is a politically charged protest song by Portuguese musician José Afonso that became emblematic of resistance to the Estado Novo dictatorship.
  • E. Vampire Circus
    Vampire Circus is a 1972 British Hammer horror film that blends gothic atmosphere with supernatural terror in a story about a mysterious traveling circus preying on a secluded village.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24912c5808190a0d9c9f491315068 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c8f51c8190b73cdf2834eda57f completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.