Triple

T2729808
Position Surface form Disambiguated ID Type / Status
Subject Bambi (1942 film) E60283 entity
Predicate mainCharacter P1183 FINISHED
Object Thumper
Thumper is the cheerful, talkative rabbit who serves as Bambi’s playful best friend and comic relief in Disney’s classic animated film.
 E293260 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: Thumper | Statement: [Bambi (1942 film), mainCharacter, Thumper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thumper
Context triple: [Bambi (1942 film), mainCharacter, Thumper]
  • A. Greg the Bunny
    Greg the Bunny is a satirical television comedy series featuring a world where puppets and humans coexist, blending puppet characters with live-action actors in a behind-the-scenes showbiz setting.
  • B. Wilbur the Wildcat
    Wilbur the Wildcat is the costumed wildcat mascot who represents the University of Arizona at athletic events and campus activities.
  • C. Petey
    Petey is a diminutive nickname commonly used for people named Peter.
  • D. Chappy
    Chappy is the informal nickname for Chappaquiddick Island, a small island off the eastern end of Martha’s Vineyard in Massachusetts.
  • E. Bunny
    Bunny is a supporting character in the psychological thriller film "Don't Worry Darling," portrayed as a seemingly content housewife whose role becomes more complex as the story’s unsettling reality is revealed.
  • 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: Thumper
Triple: [Bambi (1942 film), mainCharacter, Thumper]
Generated description
Thumper is the cheerful, talkative rabbit who serves as Bambi’s playful best friend and comic relief in Disney’s classic animated film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thumper
Target entity description: Thumper is the cheerful, talkative rabbit who serves as Bambi’s playful best friend and comic relief in Disney’s classic animated film.
  • A. Greg the Bunny
    Greg the Bunny is a satirical television comedy series featuring a world where puppets and humans coexist, blending puppet characters with live-action actors in a behind-the-scenes showbiz setting.
  • B. Wilbur the Wildcat
    Wilbur the Wildcat is the costumed wildcat mascot who represents the University of Arizona at athletic events and campus activities.
  • C. Petey
    Petey is a diminutive nickname commonly used for people named Peter.
  • D. Chappy
    Chappy is the informal nickname for Chappaquiddick Island, a small island off the eastern end of Martha’s Vineyard in Massachusetts.
  • E. Bunny
    Bunny is a supporting character in the psychological thriller film "Don't Worry Darling," portrayed as a seemingly content housewife whose role becomes more complex as the story’s unsettling reality is revealed.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaeca6208190a586afb00747146a completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb69c9f648190bbbcfa42ab68c6f2 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb75ea498819089c79e63052e9696 completed March 10, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_69afb83ba6dc8190931d691d3e354bd7 completed March 10, 2026, 6:20 a.m.
Created at: March 6, 2026, 9:56 p.m.