Triple

T7138306
Position Surface form Disambiguated ID Type / Status
Subject Bets E166367 entity
Predicate associatedWith P37 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: [Bets, associatedWith, Daisy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daisy
Context triple: [Bets, associatedWith, 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
    Daisy is a small rural community located within Evans County in the U.S. state of Georgia.
  • E. 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.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e694cc3c81908b0d54c2496a0722 completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad940bd88190abec876e2d2369bf completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:45 p.m.