Triple

T10699287
Position Surface form Disambiguated ID Type / Status
Subject Sylvia Young Theatre School E252226 entity
Predicate hasNotableAlumni P51 FINISHED
Object Alex Pettyfer E449510 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: Alex Pettyfer | Statement: [Sylvia Young Theatre School, hasNotableAlumni, Alex Pettyfer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alex Pettyfer
Context triple: [Sylvia Young Theatre School, hasNotableAlumni, Alex Pettyfer]
  • A. Alex Pettyfer chosen
    Alex Pettyfer is an English actor and model known for roles in films such as "Stormbreaker," "I Am Number Four," and "Magic Mike."
  • B. Alan Ritchson
    Alan Ritchson is an American actor, model, and filmmaker best known for roles in projects like "Reacher," "Blue Mountain State," and the "Teenage Mutant Ninja Turtles" films.
  • C. Ethan Embry
    Ethan Embry is an American actor known for his roles in 1990s films such as "Empire Records," "Can't Hardly Wait," and various television series.
  • D. Doug Hutchison
    Doug Hutchison is an American character actor best known for his roles in films like "The Green Mile" and TV series such as "The X-Files" and "Lost."
  • E. Nicholas Woodeson
    Nicholas Woodeson is a British character actor known for his work in film, television, and theatre, including roles in productions such as "Skyfall," "Rome," and "The Death of Stalin."
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8abd7c81909c274aa1699a3695 completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbad110d9481908c3c0873424ec616 completed April 12, 2026, 2:32 p.m.
Created at: April 8, 2026, 9:12 p.m.