Triple

T23157152
Position Surface form Disambiguated ID Type / Status
Subject Kevin Long E578474 entity
Predicate name P16 FINISHED
Object Kevin Long NE NERFINISHED

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 Long | Statement: [Kevin Long, name, Kevin Long]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Long
Context triple: [Kevin Long, name, Kevin Long]
  • A. Kevin Long chosen
    Kevin Long is a professional American skateboarder known for his influential street skating style and video parts with brands like Baker Skateboards and Emerica.
  • B. Matt Long
    Matt Long is an American actor best known for his starring roles in television series such as "Jack & Bobby" and "Manifest."
  • C. Michael J. Nelson
    Michael J. Nelson is an American writer, comedian, and actor best known as the head writer and host of the cult television series "Mystery Science Theater 3000."
  • D. Geoff Rodkey
    Geoff Rodkey is an American screenwriter and author known for his work on family comedies and children's books, including the film "Daddy Day Care."
  • E. Gene McFadden
    Gene McFadden was an American songwriter and producer best known as half of the soul duo McFadden & Whitehead, who helped shape the sound of 1970s Philadelphia soul.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18efe1b0081908e81b757d64c067c completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:01 p.m.