Triple

T17327797
Position Surface form Disambiguated ID Type / Status
Subject Daisy Brooke E420731 entity
Predicate givenName P17 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: [Daisy Brooke, givenName, Daisy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daisy
Context triple: [Daisy Brooke, givenName, 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 a small rural community located within Evans County in the U.S. state of Georgia.
  • D. Daisy
    Daisy is the troubled American teenager who serves as the narrator and central protagonist of Meg Rosoff’s novel "How I Live Now," chronicling her experiences during a fictional World War III in the English countryside.
  • E. Daisy
    Daisy is a central female character in the 2003 independent film "The Brown Bunny," serving as the emotional focus of the protagonist's memories and guilt.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d42154819093a240f677a63145 completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c4dff088190833122dbe2981045 completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.