Triple

T14366562
Position Surface form Disambiguated ID Type / Status
Subject Orlando Jones E356249 entity
Predicate name P16 FINISHED
Object Orlando Jones E356249 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: Orlando Jones | Statement: [Orlando Jones, name, Orlando Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orlando Jones
Context triple: [Orlando Jones, name, Orlando Jones]
  • A. Orlando Jones
    Orlando Jones was an early 18th-century Virginia planter and colonial official connected to the prominent Jones and Dandridge families.
  • B. Orlando Jones chosen
    Orlando Jones is an American actor and comedian known for his roles in television and film, including his prominent part in the supernatural drama series "Sleepy Hollow."
  • C. Edwin Hodge
    Edwin Hodge is an American actor known for his roles in films and television series such as the Purge franchise, Six, and various guest appearances on popular TV shows.
  • D. Terrence Howard
    Terrence Howard is an American actor and singer known for his roles in films like "Hustle & Flow" and the TV series "Empire."
  • E. Isaiah Washington
    Isaiah Washington is an American actor best known for his role as Dr. Preston Burke on the television series "Grey's Anatomy" and for his performances in films such as "Clockers" and "Get on the Bus."
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda907abf88190b86ce65390d9ca40 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:15 a.m.