Triple

T2693312
Position Surface form Disambiguated ID Type / Status
Subject The Cadfael Chronicles E58453 entity
Predicate characterRoleOfProtagonist P20969 FINISHED
Object Benedictine monk LITERAL 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: Benedictine monk | Statement: [The Cadfael Chronicles, characterRoleOfProtagonist, Benedictine monk]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: characterRoleOfProtagonist
Context triple: [The Cadfael Chronicles, characterRoleOfProtagonist, Benedictine monk]
  • A. protagonistType chosen
    Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
  • B. protagonistIs
    Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
  • C. protagonistDescription
    Indicates that a text provides a descriptive summary or characterization of the story’s main protagonist.
  • D. protagonistCharacteristic
    Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
  • E. mainProtagonist
    Indicates that the subject is the central character or primary focus in the narrative of the related work.
  • F. None of above.

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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda0f43b08190a5abd936b14603b7 completed March 7, 2026, 7:55 a.m.
PD Predicate disambiguation batch_69abd81ea5d88190ab5c8f8b8064b931 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:54 p.m.