Triple

T1204798
Position Surface form Disambiguated ID Type / Status
Subject National Velvet E25863 entity
Predicate protagonist P268 FINISHED
Object Velvet Brown E138040 NE FINISHED

How this triple was built (2 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: Velvet Brown | Statement: [National Velvet, protagonist, Velvet Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Velvet Brown
Context triple: [National Velvet, protagonist, Velvet Brown]
  • A. Velvet Brown chosen
    Velvet Brown is the determined young English girl who dreams of racing her beloved horse to victory in the classic novel and film "National Velvet."
  • 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. Goose Green
    Goose Green is a settlement on East Falkland in the Falkland Islands, best known as the site of a major land battle during the 1982 Falklands War.
  • D. Black on Maroon
    Black on Maroon is a 1958 abstract color field painting by Mark Rothko, known for its large, brooding planes of dark color that exemplify his mature style and emotional intensity.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdc0f8d08190b340012a9eb26275 completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8319d0e88190977a4d434b209f11 completed March 7, 2026, 7:57 p.m.
Created at: March 1, 2026, 7:46 p.m.