Triple

T10911463
Position Surface form Disambiguated ID Type / Status
Subject Alan Rudolph E257709 entity
Predicate directed P7373 FINISHED
Object Trixie
Trixie is a 2000 neo-noir mystery-comedy film known for its quirky dialogue and offbeat detective story, directed by Alan Rudolph.
E892708 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: [Alan Rudolph, directed, Trixie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trixie
Context triple: [Alan Rudolph, directed, 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
    Trixie is a character connected to Bonnie Anderson in the Toy Story franchise, likely appearing in or around her home.
  • C. 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."
  • D. Tiffy
    Tiffy is a common nickname or diminutive form of the given name Tiffany.
  • E. 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.
  • 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: [Alan Rudolph, directed, Trixie]
Generated description
Trixie is a 2000 neo-noir mystery-comedy film known for its quirky dialogue and offbeat detective story, directed by Alan Rudolph.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trixie
Target entity description: Trixie is a 2000 neo-noir mystery-comedy film known for its quirky dialogue and offbeat detective story, directed by Alan Rudolph.
  • 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
    Trixie is a character connected to Bonnie Anderson in the Toy Story franchise, likely appearing in or around her home.
  • C. 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."
  • D. Tiffy
    Tiffy is a common nickname or diminutive form of the given name Tiffany.
  • E. 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.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770723df08190bedfdc94d998f969 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e155550e388190bd441ac3a9dde435 completed April 16, 2026, 9:32 p.m.
NEDg Description generation batch_69e1801dc2e8819099bc862705871761 completed April 17, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_69e1831802608190b5c3c5a4e8d8681a completed April 17, 2026, 12:47 a.m.
Created at: April 8, 2026, 9:22 p.m.