Triple

T18459072
Position Surface form Disambiguated ID Type / Status
Subject Katelyn Ohashi E450982 entity
Predicate beatInCompetition P1375 FINISHED
Object Simone Biles at the 2013 American Cup 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: Simone Biles at the 2013 American Cup | Statement: [Katelyn Ohashi, beatInCompetition, Simone Biles at the 2013 American Cup]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: beatInCompetition
Context triple: [Katelyn Ohashi, beatInCompetition, Simone Biles at the 2013 American Cup]
  • A. competeIn
    Indicates that an entity takes part as a contender in a particular event, activity, or domain where performance is compared against others.
  • B. competesWith chosen
    Indicates that two entities are in rivalry or opposition, each striving to outperform or gain advantage over the other in the same domain or objective.
  • C. beatRivalToPoleByDays
    Indicates that one competitor secured pole position a specified number of days before a rival did.
  • D. hasCompetition
    Indicates that one entity is in a state of rivalry or contest with another entity, typically competing for the same goal, resource, or advantage.
  • E. competedFor
    Indicates that an entity took part in a contest, rivalry, or competition in pursuit of another entity (such as a prize, position, or resource).
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a7cdb5c8190a399f0e4052f7d1f completed April 19, 2026, 7:18 p.m.
PD Predicate disambiguation batch_69e469d05cf4819099baf1665a9cf18a completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 11:33 a.m.