Triple

T10942969
Position Surface form Disambiguated ID Type / Status
Subject Lisa Askey E258520 entity
Predicate relative P37 FINISHED
Object Kobe Faison E896568 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: Kobe Faison | Statement: [Lisa Askey, relative, Kobe Faison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kobe Faison
Context triple: [Lisa Askey, relative, Kobe Faison]
  • A. Kobe Faison chosen
    Kobe Faison is one of the children of actor and comedian Donald Faison and his former partner Lisa Askey.
  • B. Dakin Matthews
    Dakin Matthews is an American actor, director, and playwright known for his extensive work on stage and screen, including numerous Broadway productions and television roles.
  • C. Tyson Timbs
    Tyson Timbs is an Indiana man whose challenge to the seizure of his Land Rover in a drug case led to the landmark U.S. Supreme Court decision applying the Eighth Amendment’s Excessive Fines Clause to the states.
  • D. Cortez Bryant
    Cortez Bryant is an American music manager and executive best known for managing Lil Wayne and co-founding the Blueprint Group management company.
  • E. Isaiah Rogers
    Isaiah Rogers was a prominent 19th-century American architect known for pioneering hotel design and contributing major public buildings in the United States.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c3fb388190a598f89ae59a7b51 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e374226b6081909c8db367e7d468a5 completed April 18, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:23 p.m.