Triple

T5437103
Position Surface form Disambiguated ID Type / Status
Subject Frisco RoughRiders E122035 entity
Predicate mascot P52 FINISHED
Object Daisy E177425 NE 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: Daisy | Statement: [Frisco RoughRiders, mascot, Daisy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daisy
Context triple: [Frisco RoughRiders, mascot, Daisy]
  • A. Daisy chosen
    Daisy is a feminine given name commonly associated with the daisy flower and often used in English-speaking countries.
  • B. Daisy
    Daisy is a central character in Margaret Atwood's dystopian novel "The Testaments," whose perspective helps reveal the inner workings and resistance within the totalitarian regime of Gilead.
  • C. Daisy
    Daisy is the central protagonist of "The Mystery Series," around whom the stories' investigations and adventures revolve.
  • D. Daisy Gardner
    Daisy Gardner is a hobbit of the Shire, one of the daughters of Samwise Gamgee and Rosie Cotton in J.R.R. Tolkien’s Middle-earth legendarium.
  • E. Daisy Prince
    Daisy Prince is an American theatre director and the daughter of legendary Broadway producer and director Harold Prince.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91bb51d48190aab340d8d25e9a9a completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3acfd0408190877fbe41f1dc45ba completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:07 p.m.