Triple

T2115688
Position Surface form Disambiguated ID Type / Status
Subject Stowe School E43803 entity
Predicate hasAlumnus P51 FINISHED
Object Henry Cavill E139744 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: Henry Cavill | Statement: [Stowe School, hasAlumnus, Henry Cavill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Cavill
Context triple: [Stowe School, hasAlumnus, Henry Cavill]
  • A. Henry Cavill chosen
    Henry Cavill is a British actor best known for portraying Superman in the DC Extended Universe and Geralt of Rivia in the Netflix series "The Witcher."
  • B. Jason Momoa
    Jason Momoa is an American actor known for his rugged, charismatic roles in major franchises, including playing the title superhero in DC’s Aquaman films and Khal Drogo in Game of Thrones.
  • C. Tom Hardy
    Tom Hardy is an acclaimed English actor known for his intense, transformative performances in films such as Inception, Mad Max: Fury Road, and The Dark Knight Rises.
  • D. Nikolaj Coster-Waldau
    Nikolaj Coster-Waldau is a Danish actor best known internationally for his role as Jaime Lannister in the television series "Game of Thrones."
  • E. Gerard Butler
    Gerard Butler is a Scottish actor and film producer best known for his leading roles in action and drama films such as "300," "Olympus Has Fallen," and "The Phantom of the Opera."
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb0724e08190a0a4210d86261d6d completed March 7, 2026, 5:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3076afec819091183e328cff58c8 completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:43 p.m.