Triple

T16073131
Position Surface form Disambiguated ID Type / Status
Subject Jason Friedberg E389913 entity
Predicate hasDirected P7373 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: [Jason Friedberg, hasDirected, Vampires Suck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vampires Suck
Context triple: [Jason Friedberg, hasDirected, 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183bf6c488190b0099a00f13f2a69 completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff299f14c8190a5f88754b6a78b1f completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 4:57 a.m.