Triple

T2737167
Position Surface form Disambiguated ID Type / Status
Subject Perry E60656 entity
Predicate hasNotableBearer P458 FINISHED
Object Tyler Perry E286419 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: Tyler Perry | Statement: [Perry, hasNotableBearer, Tyler Perry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyler Perry
Context triple: [Perry, hasNotableBearer, Tyler Perry]
  • A. Tyler Perry chosen
    Tyler Perry is an American actor, filmmaker, and playwright best known for creating and portraying the character Madea and for his influential work in film, television, and theater.
  • B. Tituss Burgess
    Tituss Burgess is an American actor and singer best known for his comedic role as Titus Andromedon on the Netflix series "Unbreakable Kimmy Schmidt" and his work on Broadway.
  • C. Mark Pellington
    Mark Pellington is an American film and music video director known for his visually striking, emotionally intense work on projects such as U2’s “One” and the film “Arlington Road.”
  • D. Troy Garity
    Troy Garity is an American actor known for roles in films such as "Barbershop," "Soldier's Girl," and "Sunshine," as well as for being the son of actress Jane Fonda.
  • E. Taye Diggs
    Taye Diggs is an American actor and singer known for his roles in Broadway musicals like "Rent" and films such as "How Stella Got Her Groove Back" and "The Best Man."
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb12e03c8190b270c814ce47b626 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6a5dda0819092508b9e10030d09 completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:56 p.m.