Triple

T9780540
Position Surface form Disambiguated ID Type / Status
Subject Frankie Faison E237357 entity
Predicate name P16 FINISHED
Object Frankie Faison E237357 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: Frankie Faison | Statement: [Frankie Faison, name, Frankie Faison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frankie Faison
Context triple: [Frankie Faison, name, Frankie Faison]
  • A. Frankie Faison chosen
    Frankie Faison is an American actor known for his character roles in film and television, including appearances in projects like "The Wire," the "Hannibal Lecter" film series, and numerous comedies and dramas.
  • B. Tony Randall
    Tony Randall was an American actor and comedian best known for his role as Felix Unger in the television series "The Odd Couple."
  • C. Sherman Hemsley
    Sherman Hemsley was an American actor and comedian best known for his iconic portrayal of George Jefferson on the television sitcoms All in the Family and The Jeffersons.
  • D. Bill Farmer
    Bill Farmer is an American voice actor best known for voicing Disney characters such as Goofy and Pluto.
  • E. Jules Asner
    Jules Asner is an American television personality, former model, and entertainment journalist known for hosting programs on E! and other networks.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b0b15881909ef52d0156148c59 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd28b0e48190984cf44d88f324d7 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:27 p.m.