Triple

T13794965
Position Surface form Disambiguated ID Type / Status
Subject XO E331490 entity
Predicate associatedAct P37 FINISHED
Object 88Glam E341185 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: 88Glam | Statement: [XO, associatedAct, 88Glam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 88Glam
Context triple: [XO, associatedAct, 88Glam]
  • A. 88Glam chosen
    88Glam is a Canadian hip hop duo known for their atmospheric trap sound and collaborations within Toronto’s rap scene.
  • B. GAGA
    GAGA (Géométrie Algébrique et Géométrie Analytique) is a foundational theory in mathematics, developed by Jean-Pierre Serre, that establishes deep connections between algebraic geometry and complex analytic geometry.
  • C. Glamour
    Glamour is a popular international women's magazine known for its coverage of fashion, beauty, lifestyle, and celebrity culture.
  • D. Glam Slam
    "Glam Slam" is a funk-infused pop song by Prince, released in 1988 as a single from his album Lovesexy.
  • E. Grits & Glamour
    Grits & Glamour is a country music tour collaboration featuring veteran artists Pam Tillis and Lorrie Morgan, known for blending classic hits with storytelling and Southern charm.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0259b0e4819081c11ced694384fb completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08508688190b7e8c33e6b65e25d completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:11 p.m.