Triple

T9578829
Position Surface form Disambiguated ID Type / Status
Subject Donald Faison E231116 entity
Predicate hasFamilyName P18 FINISHED
Object Faison E231116 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: Faison | Statement: [Donald Faison, hasFamilyName, Faison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faison
Context triple: [Donald Faison, hasFamilyName, Faison]
  • A. Faison chosen
    Faison is a surname most notably associated with American actor and comedian Donald Faison.
  • B. Conetoe
    Conetoe is a small rural town located in Edgecombe County in eastern North Carolina, United States.
  • C. Guiteau
    Guiteau is the surname of Charles J. Guiteau, the American lawyer and assassin who killed U.S. President James A. Garfield in 1881.
  • D. Big Hawk
    Big Hawk was a Houston-based rapper and member of the Screwed Up Click, known for his influential role in the Southern hip hop scene.
  • E. Moultrie
    Moultrie is a surname most notably associated with William Moultrie, an American Revolutionary War general and political leader from South Carolina.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99aece1081908287e03106de020f completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1615d093c8190940037e9e0842db5 completed April 4, 2026, 7:07 p.m.
Created at: March 30, 2026, 8:05 p.m.