Triple

T3141074
Position Surface form Disambiguated ID Type / Status
Subject Crazy Horse E65644 entity
Predicate hasFranchiseOrSpinOff P45612 FINISHED
Object Crazy Horse shows in Las Vegas 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: Crazy Horse shows in Las Vegas | Statement: [Crazy Horse, hasFranchiseOrSpinOff, Crazy Horse shows in Las Vegas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFranchiseOrSpinOff
Context triple: [Crazy Horse, hasFranchiseOrSpinOff, Crazy Horse shows in Las Vegas]
  • A. hasSpinOff
    Indicates that one entity is a derivative or spin-off product, work, or organization that originated from another entity.
  • B. partOfFranchiseLineage
    Indicates that one entity belongs to, or is derived from, the same overarching franchise lineage as another entity, reflecting continuity within a shared franchise.
  • C. hasMediaFranchise
    Indicates that one entity is part of, or belongs to, a larger media franchise represented by another entity.
  • D. originalFranchiseOf
    Indicates that one entity is the source or originating franchise from which another franchise, adaptation, or derivative work is based or derived.
  • E. includedFranchise
    Indicates that one franchise is contained within, or forms part of, another franchise.
  • F. None of above. chosen

Provenance (4 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada57895dc8190bd3d4ef9391973dc completed March 8, 2026, 4:36 p.m.
PD Predicate disambiguation batch_69ad9df840088190a26a1516f4c1f056 completed March 8, 2026, 4:04 p.m.
PDg Predicate description generation batch_69ada0f7c21c819087e9992f5fe30a37 completed March 8, 2026, 4:16 p.m.
Created at: March 8, 2026, 3:05 p.m.