Triple

T13373536
Position Surface form Disambiguated ID Type / Status
Subject "How Do U Want It" E319124 entity
Predicate musicVideoDirector P4911 FINISHED
Object J. Kevin Swain E610018 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: J. Kevin Swain | Statement: ["How Do U Want It", musicVideoDirector, J. Kevin Swain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J. Kevin Swain
Context triple: ["How Do U Want It", musicVideoDirector, J. Kevin Swain]
  • A. J. Kevin Swain chosen
    J. Kevin Swain is a music video director known for his work on influential hip-hop and R&B videos in the 1990s and beyond.
  • B. Craig A. Stough
    Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
  • C. R. Stephen Wiles
    R. Stephen Wiles is an actor known for his role in the Western film "Tin Star."
  • D. Michael T. Williamson
    Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
  • E. Stephen M. Kellen
    Stephen M. Kellen was a prominent financier and philanthropist known for his leadership at Arnhold and S. Bleichroeder and his significant support of cultural and educational institutions.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcda64a48190b53243a763cd175b completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff90815b64819082715292f6088c74 completed May 9, 2026, 7:52 p.m.
Created at: April 9, 2026, 9:33 p.m.