Triple

T13733276
Position Surface form Disambiguated ID Type / Status
Subject Fly or Die E329864 entity
Predicate hasPart P35 FINISHED
Object Maybe
"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.
 E1057137 NE FINISHED

How this triple was built (4 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, hasPart, Maybe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maybe
Context triple: [Fly or Die, hasPart, 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
    "Maybe" is a pop-infused indie folk song by American singer-songwriter Ingrid Michaelson, known for its introspective lyrics about uncertainty and relationships.
  • D. 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.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Maybe
Triple: [Fly or Die, hasPart, Maybe]
Generated description
"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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maybe
Target entity description: "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.
  • 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
    "Maybe" is a pop-infused indie folk song by American singer-songwriter Ingrid Michaelson, known for its introspective lyrics about uncertainty and relationships.
  • D. 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.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69f79d66cb088190be2621753d0a6740 completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79e77b5e88190a85f4061c8abb8a4 completed May 3, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f79fa5249481909b2c046ed9801371 completed May 3, 2026, 7:19 p.m.
Created at: April 9, 2026, 9:55 p.m.