Triple

T27782706
Position Surface form Disambiguated ID Type / Status
Subject Biff Tannen's Pleasure Paradise Casino & Hotel E699375 entity
Predicate locatedInFictionalTimeline P98600 FINISHED
Object alternate 1985 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: alternate 1985 | Statement: [Biff Tannen's Pleasure Paradise Casino & Hotel, locatedInFictionalTimeline, alternate 1985]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInFictionalTimeline
Context triple: [Biff Tannen's Pleasure Paradise Casino & Hotel, locatedInFictionalTimeline, alternate 1985]
  • A. existsInFictionalTimePeriod
    Indicates that an entity is situated within, or associated with, a time period that is fictional rather than part of real-world history.
  • B. locatedInFictionalEvent
    Indicates that one entity (typically a place, object, or character) exists or occurs within the context or setting of a fictional event.
  • C. locatedInFictionalContext chosen
    Indicates that one entity exists or occurs within the setting or universe of a fictional work associated with another entity.
  • D. residesInFictionalLocation
    Indicates that an entity lives or is based in a location that is explicitly fictional or imaginary.
  • E. locatedInFictionalCountry
    Indicates that an entity exists or is situated within a country that is fictional rather than real.
  • 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_69ef6a4b5a9081909c9111396c2be3d2 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69ff234f32888190a1d800a3bda432eb completed May 9, 2026, 12:06 p.m.
PD Predicate disambiguation batch_69ff228ae9a0819083f4b97c10b923f4 completed May 9, 2026, 12:03 p.m.
Created at: April 27, 2026, 5:11 p.m.