Triple

T12007987
Position Surface form Disambiguated ID Type / Status
Subject Prince Hal E285831 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Peto E62919 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: Peto | Statement: [Prince Hal, associatedWithCharacter, Peto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peto
Context triple: [Prince Hal, associatedWithCharacter, Peto]
  • A. Peto chosen
    Peto is a minor companion of Sir John Falstaff and Prince Hal in Shakespeare’s Henry IV plays, often depicted as a comic, roguish follower involved in their tavern escapades.
  • B. Petry
    Petry is a surname most notably associated with Ann Petry, an influential American novelist and short story writer known for exploring African American life and social issues.
  • C. Poulus
    Poulus is a personal name variant derived from the given name Poul.
  • D. Poots
    Poots is the surname of Imogen Poots, an English actress known for her roles in films such as "28 Weeks Later" and "Green Room."
  • E. Tizard
    Tizard is an English surname most notably associated with Sir Henry Tizard, a British chemist and key scientific adviser in the development of radar before and during World War II.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d61a4c81909e6cb6500b61df94 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b1570208190a08c64e028f67d81 completed May 1, 2026, 11:14 a.m.
Created at: April 8, 2026, 9:46 p.m.