Triple

T14684868
Position Surface form Disambiguated ID Type / Status
Subject Fright Nights E344883 entity
Predicate name P16 FINISHED
Object Fright Nights E536389 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: Fright Nights | Statement: [Fright Nights, name, Fright Nights]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fright Nights
Context triple: [Fright Nights, name, Fright Nights]
  • A. Fright Nights chosen
    Fright Nights is Thorpe Park’s annual Halloween-themed event featuring horror mazes, scare zones, and live entertainment.
  • B. Fright Nights
    Fright Nights is an annual Halloween-themed after-hours event at Warner Bros. Movie World featuring horror mazes, scare zones, and live entertainment.
  • C. Fright Fest
    Fright Fest is Six Flags’ annual Halloween-themed event featuring haunted attractions, scare zones, and seasonal entertainment.
  • D. Phantom Fright Nights
    Phantom Fright Nights is Kennywood amusement park’s annual Halloween-themed nighttime event featuring haunted attractions, scare zones, and seasonal entertainment.
  • E. Halloween Haunt
    Halloween Haunt is a large-scale, horror-themed nighttime event at Canada's Wonderland featuring haunted mazes, scare zones, live entertainment, and seasonal attractions during the Halloween season.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb56bdb8081909ff86440ba20fb1f completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde18592088190892ae1cc371165be completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.