Triple

T14407387
Position Surface form Disambiguated ID Type / Status
Subject WrestleMania Women’s Battle Royal E357233 entity
Predicate typicalNumberOfParticipants P27342 FINISHED
Object many female wrestlers from multiple WWE brands 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: many female wrestlers from multiple WWE brands | Statement: [WrestleMania Women’s Battle Royal, typicalNumberOfParticipants, many female wrestlers from multiple WWE brands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalNumberOfParticipants
Context triple: [WrestleMania Women’s Battle Royal, typicalNumberOfParticipants, many female wrestlers from multiple WWE brands]
  • A. numberOfParticipants
    Indicates the total count of entities involved in a particular event, activity, or relationship.
  • B. typicalNumberOfAthletes chosen
    Indicates the usual or average number of athletes associated with or participating in a given context, event, or entity.
  • C. typicalNumberOfPlayers
    Indicates the usual or standard number of players involved in participating in an activity or game.
  • D. typicalGroupSize
    Indicates the usual or characteristic number of individuals that typically form a group in this context.
  • E. typicalNumberOfDancers
    Indicates the usual or standard number of dancers involved in a particular dance, performance, or context.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90c7a068819081b4b516983a1412 completed April 14, 2026, 7:08 p.m.
PD Predicate disambiguation batch_69de2aa1b57881909a033eac8545c417 completed April 14, 2026, 11:53 a.m.
Created at: April 10, 2026, 1:17 a.m.