Triple

T12144108
Position Surface form Disambiguated ID Type / Status
Subject Anne Heywood E289271 entity
Predicate givenName P17 FINISHED
Object Violet
Violet is the given first name of the English actress Anne Heywood, known for her film and television roles in the mid-20th century.
 E969666 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: [Anne Heywood, givenName, Violet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Violet
Context triple: [Anne Heywood, givenName, Violet]
  • A. Violet
    Violet is a live-action short film recognized with the Academy Award for Best Live Action Short Film at the 54th Oscars.
  • B. Violet
    Violet is a small, typically purple-flowered plant commonly found in temperate regions and widely recognized as a symbol of modesty and springtime.
  • C. Violet
    Violet is a character portrayed by Australian actress Robin McLeavy, likely known from her work in film or television.
  • D. Violet
    Violet is the given first name of the renowned American opera singer Leontyne Price.
  • E. Violet
    Violet is the shy, force-field-generating teenage superhero daughter from Pixar's "The Incredibles" films.
  • 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: [Anne Heywood, givenName, Violet]
Generated description
Violet is the given first name of the English actress Anne Heywood, known for her film and television roles in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Violet
Target entity description: Violet is the given first name of the English actress Anne Heywood, known for her film and television roles in the mid-20th century.
  • 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. Violet
    Violet is a live-action short film recognized with the Academy Award for Best Live Action Short Film at the 54th Oscars.
  • D. Violet
    Violet is the given first name of the renowned American opera singer Leontyne Price.
  • E. Violet
    Violet is the shy, force-field-generating teenage superhero daughter from Pixar's "The Incredibles" films.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915aacaa08190b31f54e230334406 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a7e24ac819083e85fb8edb2ed2c completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60bdb39f48190ad6bc51db6c34163 completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60d4c30448190874f253b864ef61e completed May 2, 2026, 2:42 p.m.
Created at: April 8, 2026, 9:49 p.m.