Triple

T11936379
Position Surface form Disambiguated ID Type / Status
Subject BLK/MRKT Inc. E284055 entity
Predicate hasNotableMember P304 FINISHED
Object Dave Kinsey E954884 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: Dave Kinsey | Statement: [BLK/MRKT Inc., hasNotableMember, Dave Kinsey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dave Kinsey
Context triple: [BLK/MRKT Inc., hasNotableMember, Dave Kinsey]
  • A. Dave Kinsey chosen
    Dave Kinsey is an American contemporary artist and designer known for his expressive, politically charged street art and graphic work.
  • B. Michael Dorman
    Michael Dorman is an Australian actor known for his roles in television series such as "For All Mankind," "Patriot," and "The Secret Life of Us."
  • C. Gregory Jacobs
    Gregory Jacobs is an American film producer and director known for his longtime collaboration with Steven Soderbergh on numerous critically acclaimed movies.
  • D. Gregory Jacobs
    Gregory Jacobs is an American rapper and producer better known by his stage name Shock G, the frontman of Digital Underground and a key figure in West Coast hip hop.
  • E. Jeffrey Wolf
    Jeffrey Wolf is a film editor known for his work on feature films such as the 1996 drama "Beautiful Girls."
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903094218819092e11b273d87de65 completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48a729de88190960be2d16487a620 completed May 1, 2026, 11:11 a.m.
Created at: April 8, 2026, 9:45 p.m.