Triple

T12105496
Position Surface form Disambiguated ID Type / Status
Subject Colors of the Wind E288291 entity
Predicate title P38 FINISHED
Object Colors of the Wind E288291 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: Colors of the Wind | Statement: [Colors of the Wind, title, Colors of the Wind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colors of the Wind
Context triple: [Colors of the Wind, title, Colors of the Wind]
  • A. Colors of the Wind chosen
    "Colors of the Wind" is a renowned song from Disney's animated film Pocahontas that explores themes of nature, empathy, and respect for indigenous cultures.
  • B. Only the Wind
    "Only the Wind" is a song by Billy Dean from his 1991 country album "Billy Dean."
  • C. Something in the Wind
    "Something in the Wind" is a 1947 American musical comedy film starring Deanna Durbin, known for its lighthearted romance, mistaken-identity plot, and lively musical numbers.
  • D. Gift of the Wind
    Gift of the Wind is a prominent kinetic sculpture installed in Porter Square in Cambridge, Massachusetts, known for its wind-driven movement and distinctive presence in the public space.
  • E. Hear the Wind Sing
    Hear the Wind Sing is Haruki Murakami’s debut novella, a surreal, introspective coming-of-age story that introduces themes and characters that recur throughout his later works.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91561eaec819096ba00682d81f41a completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6795bf88190891acf918a432bef completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:49 p.m.