Triple

T13242777
Position Surface form Disambiguated ID Type / Status
Subject SmackDown Women’s Championship E315320 entity
Predicate hasStorylines P24126 FINISHED
Object feuds between women wrestlers 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: feuds between women wrestlers | Statement: [SmackDown Women’s Championship, hasStorylines, feuds between women wrestlers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStorylines
Context triple: [SmackDown Women’s Championship, hasStorylines, feuds between women wrestlers]
  • A. hasFlashbackStorylines
    Indicates that the narrative includes scenes or sequences set in earlier time periods that reveal past events related to the main storyline.
  • B. hasZoneStoryline
    Indicates that a zone or area is associated with a specific overarching storyline or narrative arc.
  • C. hasNarrative
    Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
  • D. storyboardedBy
    Indicates that a visual narrative work (such as a film, animation, or sequence) has its scenes or shots planned and illustrated by a specific storyboard artist or creator.
  • E. storyline chosen
    Indicates that one entity serves as the narrative plot or sequence of events associated with 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d59e84c8190a9e547d0fe26a5f9 completed April 10, 2026, 11:52 p.m.
PD Predicate disambiguation batch_69d98bcb21648190aef241de1e7887e2 completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:23 p.m.