Triple

T9790082
Position Surface form Disambiguated ID Type / Status
Subject Dope E237583 entity
Predicate castMember P1668 FINISHED
Object Quincy Brown E98774 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: Quincy Brown | Statement: [Dope, castMember, Quincy Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quincy Brown
Context triple: [Dope, castMember, Quincy Brown]
  • A. Quincy Brown chosen
    Quincy Brown is an American actor, singer, and model known for roles in films like "Dope" and the TV series "Star," as well as for his work in music and fashion.
  • B. Quincy Lewis
    Quincy Lewis is a former American basketball player best known as a standout scoring guard for the University of Minnesota before playing in the NBA and overseas.
  • C. Leon Robinson
    Leon Robinson is an American actor and singer best known for his roles in films such as "The Five Heartbeats," "Cool Runnings," and "Above the Rim."
  • D. Demond Wilson
    Demond Wilson is an American actor and author best known for his role as Lamont Sanford on the 1970s sitcom "Sanford and Son."
  • E. Kay Hilliard
    Kay Hilliard is the central female protagonist in the 1956 musical film "The Opposite Sex," navigating love, betrayal, and personal growth within the world of high society marriages.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda214875481909f39e1d4dbac1fdb completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c42c9fe081908145911cad6723c2 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:28 p.m.