Triple

T16371101
Position Surface form Disambiguated ID Type / Status
Subject Chet E397564 entity
Predicate hasTrack P3284 FINISHED
Object September Song E621827 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: September Song | Statement: [Chet, hasTrack, September Song]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: September Song
Context triple: [Chet, hasTrack, September Song]
  • A. September Song chosen
    "September Song" is a popular 1938 American standard composed by Kurt Weill with lyrics by Maxwell Anderson, known for its melancholic reflection on aging and the passage of time.
  • B. October Song
    "October Song" is a track by the American singer-songwriter Frank Ocean, known for its introspective lyrics and atmospheric R&B style.
  • C. Ben's Song
    "Ben's Song" is a reflective, piano-driven ballad by Sarah McLachlan that closes her debut album *Touch* with an intimate, emotional tone.
  • D. Our Song
    "Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
  • E. Our Song
    "Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff420d04819096ff12e08edf2f8b completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc44c508190bf87b437d1447db6 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.