Triple

T19999616
Position Surface form Disambiguated ID Type / Status
Subject Rhinoceros E494281 entity
Predicate character P662 FINISHED
Object Daisy
Daisy is a fictional rhinoceros character, typically depicted as a gentle, anthropomorphic animal in children's stories or media.
E1405458 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: [Rhinoceros, character, Daisy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daisy
Context triple: [Rhinoceros, character, Daisy]
  • A. Daisy
    Daisy is a themed parking section within the Mickey & Friends Parking Structure at the Disneyland Resort, named after the Disney character Daisy Duck.
  • 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 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
  • 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: [Rhinoceros, character, Daisy]
Generated description
Daisy is a fictional rhinoceros character, typically depicted as a gentle, anthropomorphic animal in children's stories or media.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Daisy
Target entity description: Daisy is a fictional rhinoceros character, typically depicted as a gentle, anthropomorphic animal in children's stories or media.
  • A. Daisy
    Daisy is a primary character in the animated film "Barnyard," depicted as a kind-hearted, maternal cow who plays a central emotional role in the story.
  • B. Daisy
    Daisy is the central protagonist of "The Mystery Series," around whom the stories' investigations and adventures revolve.
  • C. 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.
  • D. Daisy
    Daisy is a feminine given name commonly associated with the daisy flower and often used in English-speaking countries.
  • E. 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.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a09bdc819083305b08a11c6e34 completed April 20, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080509d0748190a2703a2e3ddb0fc1 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a0806563e1c8190b702fcfc009c84d5 completed May 16, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0806e876c881909f0c30e5dd16ce20 completed May 16, 2026, 5:55 a.m.
Created at: April 11, 2026, 3:32 p.m.