Triple

T2643091
Position Surface form Disambiguated ID Type / Status
Subject Peto E62919 entity
Predicate associatedWith P37 FINISHED
Object Sir John Falstaff E62917 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: Sir John Falstaff | Statement: [Peto, associatedWith, Sir John Falstaff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir John Falstaff
Context triple: [Peto, associatedWith, Sir John Falstaff]
  • A. Sir John Falstaff chosen
    Sir John Falstaff is a famously comic, roguish knight from Shakespeare’s history plays, known for his wit, cowardice, and love of drink and mischief.
  • B. Stow Bardolph
    Stow Bardolph is a rural village and civil parish in Norfolk, England, known for its historic church, country estate, and traditional English countryside setting.
  • C. Edmund Blackadder
    Edmund Blackadder is the cynical, sharp-tongued antihero of the British historical sitcom series "Blackadder," known for his wit, sarcasm, and scheming nature across various time periods.
  • D. Bardolph
    Bardolph is a comic, hard-drinking companion of Sir John Falstaff in Shakespeare’s Henry IV plays, known for his fiery red, pimpled face.
  • E. Poins
    Poins is a witty, roguish companion of Prince Hal who participates in his pranks and helps highlight the prince’s transformation in Shakespeare’s *Henry IV, Part 1*.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8ff34988190ba9d69ce9d77c71d completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbb328a88190b0ef889cbbe3bea3 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:53 p.m.