Triple

T13733298
Position Surface form Disambiguated ID Type / Status
Subject Fly or Die E329864 entity
Predicate notableSingle P3283 FINISHED
Object Maybe E1057137 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: [Fly or Die, notableSingle, Maybe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maybe
Context triple: [Fly or Die, notableSingle, 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
    "Maybe" is a song by American rock band Alice in Chains from their album "Rainier Fog."
  • C. Maybe chosen
    "Maybe" is a track from N.E.R.D's album "Fly or Die," known for its blend of rock, funk, and hip-hop elements.
  • D. Maybe
    "Maybe" is a pop-infused indie folk song by American singer-songwriter Ingrid Michaelson, known for its introspective lyrics about uncertainty and relationships.
  • E. Possibly Maybe
    "Possibly Maybe" is a downtempo, experimental electronic song by Icelandic artist Björk from her 1995 album "Post," noted for its intimate, introspective mood and innovative production.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0201d3c48190aa306be231a28bc1 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a84dbdc48190a4724bb9c3523b25 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:55 p.m.