Triple

T12859333
Position Surface form Disambiguated ID Type / Status
Subject The Brown Bunny E307542 entity
Predicate character P662 FINISHED
Object 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.
E1006302 NE FINISHED

How this triple was built (4 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: [The Brown Bunny, character, Daisy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daisy
Context triple: [The Brown Bunny, character, Daisy]
  • A. Daisy
    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
    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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Daisy
Triple: [The Brown Bunny, character, Daisy]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Daisy
Target entity description: 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.
  • A. 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.
  • B. Daisy
    Daisy is the central protagonist of "The Mystery Series," around whom the stories' investigations and adventures revolve.
  • C. Daisy
    Daisy is a feminine given name commonly associated with the daisy flower and often used in English-speaking countries.
  • D. Daisy
    Daisy is a small rural community located within Evans County in the U.S. state of Georgia.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970242bd48190941cbae0315ebc3d completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bac0c1081909217d865aa8bf9a3 completed May 3, 2026, 12:49 a.m.
NEDg Description generation batch_69f69cc60c488190a5a71e25c075e9ff completed May 3, 2026, 12:54 a.m.
NED2 Entity disambiguation (via description) batch_69f69d845a9081909b40562825c1c500 completed May 3, 2026, 12:57 a.m.
Created at: April 9, 2026, 5:37 p.m.