Triple

T3088169
Position Surface form Disambiguated ID Type / Status
Subject The Hollywood Tower Hotel (The Twilight Zone Tower of Terror) E64423 entity
Predicate hasStory P11859 FINISHED
Object mysterious elevator accident in 1930s Hollywood hotel LITERAL 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: mysterious elevator accident in 1930s Hollywood hotel | Statement: [The Hollywood Tower Hotel (The Twilight Zone Tower of Terror), hasStory, mysterious elevator accident in 1930s Hollywood hotel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStory
Context triple: [The Hollywood Tower Hotel (The Twilight Zone Tower of Terror), hasStory, mysterious elevator accident in 1930s Hollywood hotel]
  • A. hasNarrative chosen
    Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
  • B. storyBy
    Indicates that one entity is the creator or author of the story associated with another entity.
  • C. hasAllyInStory
    Indicates that one entity is portrayed as an ally or supportive partner of another entity within the context of a specific story or narrative.
  • D. containsNarrativeOf
    Indicates that one entity includes or presents the story, account, or narrative content of another entity.
  • E. storyFunction
    Indicates that one entity serves a particular narrative role or function within the story structure of another entity.
  • F. None of above.

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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada209fd24819088d887de0a4158f4 completed March 8, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69ad9ded78f881908be6fc0fb7c35764 completed March 8, 2026, 4:03 p.m.
Created at: March 8, 2026, 3:03 p.m.