Triple

T16640049
Position Surface form Disambiguated ID Type / Status
Subject Birthday Cake E404306 entity
Predicate writer P1360 FINISHED
Object Kevin McCall E658621 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: Kevin McCall | Statement: [Birthday Cake, writer, Kevin McCall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin McCall
Context triple: [Birthday Cake, writer, Kevin McCall]
  • A. Kevin McCall chosen
    Kevin McCall is an American singer, songwriter, rapper, and producer known for his work in contemporary R&B and hip hop, including collaborations with artists like Chris Brown.
  • B. Kevin McCollum
    Kevin McCollum is a prominent American theatrical producer known for backing numerous hit Broadway musicals, including Tony Award–winning shows.
  • C. Trent O’Donnell
    Trent O’Donnell is an Australian television writer, director, and producer known for his work on comedy series such as "Review with Myles Barlow," "The Letdown," and "New Girl."
  • D. Collin Wilcox
    Collin Wilcox was an American actress best known for her role as Mayella Ewell in the classic film adaptation of "To Kill a Mockingbird."
  • E. Matt Nokes
    Matt Nokes is a former Major League Baseball catcher, best known for his All-Star rookie season with the Detroit Tigers in 1987.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad0e5408190aef8b5577be73057 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dc41638819090e967ade46d35a4 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:18 a.m.