Triple

T5514180
Position Surface form Disambiguated ID Type / Status
Subject 54th Academy Awards E144639 entity
Predicate bestLiveActionShortFilmWinner P36459 FINISHED
Object Violet
Violet is a live-action short film recognized with the Academy Award for Best Live Action Short Film at the 54th Oscars.
 E529538 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: Violet | Statement: [54th Academy Awards, bestLiveActionShortFilmWinner, Violet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Violet
Context triple: [54th Academy Awards, bestLiveActionShortFilmWinner, Violet]
  • A. Violet
    Violet is a small, typically purple-flowered plant commonly found in temperate regions and widely recognized as a symbol of modesty and springtime.
  • B. Violet
    Violet is a character portrayed by Australian actress Robin McLeavy, likely known from her work in film or television.
  • C. Violeta
    Violeta is a novel by Chilean author Isabel Allende that follows the tumultuous, century-long life of a woman born during the 1918 Spanish flu pandemic.
  • D. Rosamorada
    Rosamorada is a municipality and town in the Mexican state of Nayarit, known for its agricultural activities and rural communities.
  • E. Black and Violet
    "Black and Violet" is an abstract painting by Wassily Kandinsky that exemplifies his pioneering use of color and geometric forms to evoke emotional and spiritual responses.
  • 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: Violet
Triple: [54th Academy Awards, bestLiveActionShortFilmWinner, Violet]
Generated description
Violet is a live-action short film recognized with the Academy Award for Best Live Action Short Film at the 54th Oscars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Violet
Target entity description: Violet is a live-action short film recognized with the Academy Award for Best Live Action Short Film at the 54th Oscars.
  • A. Violet
    Violet is a small, typically purple-flowered plant commonly found in temperate regions and widely recognized as a symbol of modesty and springtime.
  • B. Violet
    Violet is a character portrayed by Australian actress Robin McLeavy, likely known from her work in film or television.
  • C. Violeta
    Violeta is a novel by Chilean author Isabel Allende that follows the tumultuous, century-long life of a woman born during the 1918 Spanish flu pandemic.
  • D. Rosamorada
    Rosamorada is a municipality and town in the Mexican state of Nayarit, known for its agricultural activities and rural communities.
  • E. Black and Violet
    "Black and Violet" is an abstract painting by Wassily Kandinsky that exemplifies his pioneering use of color and geometric forms to evoke emotional and spiritual responses.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f5b4e988190b590b4157cf089c1 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027d52b808190ada94893b043fb19 completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c03847b3348190be97b7c5795df368 completed March 22, 2026, 6:43 p.m.
NED2 Entity disambiguation (via description) batch_69c038e148a0819080a306307e60d437 completed March 22, 2026, 6:45 p.m.
Created at: March 22, 2026, 3:33 p.m.