Triple

T6977135
Position Surface form Disambiguated ID Type / Status
Subject My December E161741 entity
Predicate hasTrack P3284 FINISHED
Object Maybe E586007 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: Maybe | Statement: [My December, hasTrack, Maybe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maybe
Context triple: [My December, hasTrack, Maybe]
  • A. Maybe
    "Maybe" is a popular song from the Broadway musical "Annie," known for its hopeful yet wistful reflection on the title character's longing for her parents.
  • B. Maybe chosen
    "Maybe" is a song by American rock band Alice in Chains from their album "Rainier Fog."
  • C. M-Maybe
    M-Maybe is a famous 1965 pop art painting by Roy Lichtenstein that depicts a comic book-style blonde woman in a moment of suspense, exemplifying his signature use of Ben-Day dots and bold outlines.
  • D. Black Maybe
    "Black Maybe" is a soulful, introspective hip-hop track by Common that explores themes of Black identity, struggle, and resilience.
  • E. Maybe This Time
    "Maybe This Time" is a poignant torch song best known from the musical Cabaret, where it expresses the character Sally Bowles’s fragile hope for lasting love.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db677bbc8190a084b6951e5c3182 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761af5bb48190af430e961efb34fb completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:31 p.m.