Triple

T9762252
Position Surface form Disambiguated ID Type / Status
Subject Bonnie Anderson's house E236696 entity
Predicate associatedCharacter P12208 FINISHED
Object Trixie
Trixie is a character connected to Bonnie Anderson in the Toy Story franchise, likely appearing in or around her home.
E820457 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: Trixie | Statement: [Bonnie Anderson's house, associatedCharacter, Trixie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trixie
Context triple: [Bonnie Anderson's house, associatedCharacter, Trixie]
  • A. Trixie
    Trixie is Speed Racer’s loyal and daring girlfriend and helicopter pilot in the 2008 live-action film adaptation of the classic racing anime.
  • B. Trixie Delight
    Trixie Delight is a glamorous, manipulative carnival performer who becomes a disruptive presence in the lives of a con man and a young girl in the 1973 film "Paper Moon."
  • C. Tiffy
    Tiffy is a common nickname or diminutive form of the given name Tiffany.
  • D. Tootie
    Tootie is a nerdy, braces-wearing girl in the animated series "The Fairly OddParents," best known for her obsessive crush on Timmy Turner and her over-the-top, energetic personality.
  • E. Tootie
    Tootie is a fictional character best known as the spirited youngest daughter, Agnes "Tootie" Smith, from the classic 1944 film "Meet Me in St. Louis."
  • 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: Trixie
Triple: [Bonnie Anderson's house, associatedCharacter, Trixie]
Generated description
Trixie is a character connected to Bonnie Anderson in the Toy Story franchise, likely appearing in or around her home.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trixie
Target entity description: Trixie is a character connected to Bonnie Anderson in the Toy Story franchise, likely appearing in or around her home.
  • A. Trixie
    Trixie is Speed Racer’s loyal and daring girlfriend and helicopter pilot in the 2008 live-action film adaptation of the classic racing anime.
  • B. Trixie Delight
    Trixie Delight is a glamorous, manipulative carnival performer who becomes a disruptive presence in the lives of a con man and a young girl in the 1973 film "Paper Moon."
  • C. Tiffy
    Tiffy is a common nickname or diminutive form of the given name Tiffany.
  • D. Tootie
    Tootie is a nerdy, braces-wearing girl in the animated series "The Fairly OddParents," best known for her obsessive crush on Timmy Turner and her over-the-top, energetic personality.
  • E. Tootie
    Tootie is a fictional character best known as the spirited youngest daughter, Agnes "Tootie" Smith, from the classic 1944 film "Meet Me in St. Louis."
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda04c70108190a8ed09eb6f2a124e completed April 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcec777c81908b2eff64f4756517 completed April 5, 2026, 1:37 a.m.
NEDg Description generation batch_69d1beefbd1c8190bab597373231cca1 completed April 5, 2026, 1:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1bf4bb6088190801095cacd218571 completed April 5, 2026, 1:47 a.m.
Created at: March 30, 2026, 8:25 p.m.