Triple

T2643079
Position Surface form Disambiguated ID Type / Status
Subject Mistress Quickly E62918 entity
Predicate appearsAlongside P25756 FINISHED
Object Poins E285836 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: Poins | Statement: [Mistress Quickly, appearsAlongside, Poins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poins
Context triple: [Mistress Quickly, appearsAlongside, Poins]
  • A. Poins chosen
    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*.
  • B. 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.
  • C. 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.
  • D. Fluellen
    Fluellen is a loyal and comically pedantic Welsh captain in Shakespeare’s play "Henry V," known for his strict adherence to military discipline and patriotic zeal.
  • E. Sir John Falstaff
    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.
  • 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_69afb672731881909f7df113a279e1a5 completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:53 p.m.