Triple

T11409507
Position Surface form Disambiguated ID Type / Status
Subject Blue E270330 entity
Predicate hasTrack P3284 FINISHED
Object Little Green E225668 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: Little Green | Statement: [Blue, hasTrack, Little Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Green
Context triple: [Blue, hasTrack, Little Green]
  • A. Little Green chosen
    Little Green is a song by Joni Mitchell from her 1971 album "Blue," known for its poignant lyrics about the daughter she gave up for adoption.
  • B. Little Green Bag
    Little Green Bag is a 1969 pop-rock song by Dutch musician George Baker, best known internationally for its distinctive bass line and later resurgence in popularity through its use in the film "Reservoir Dogs."
  • C. Little One
    Little One is a track from the jazz album "Maiden Voyage" by pianist and composer Herbie Hancock.
  • D. Little One
    "Little One" is a song by the American rock band E.S.P., known as one of the tracks in their musical catalog.
  • E. Little Green Cars
    Little Green Cars was an Irish indie rock band known for its emotive harmonies and critically acclaimed debut album "Absolute Zero."
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8014e72748190a01bde2f0105cedb completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b845ed488190b7680ddf09177ea0 completed April 20, 2026, 5:23 a.m.
Created at: April 8, 2026, 9:34 p.m.