Triple

T5312182
Position Surface form Disambiguated ID Type / Status
Subject The Tale of Mr. Jeremy Fisher E119055 entity
Predicate hasMotiveOfProtagonist P15083 FINISHED
Object to catch fish for a dinner party 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: to catch fish for a dinner party | Statement: [The Tale of Mr. Jeremy Fisher, hasMotiveOfProtagonist, to catch fish for a dinner party]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMotiveOfProtagonist
Context triple: [The Tale of Mr. Jeremy Fisher, hasMotiveOfProtagonist, to catch fish for a dinner party]
  • A. hasMotiveElement chosen
    Indicates that one entity includes, specifies, or is characterized by a particular motive-related component or factor in a broader relationship or action.
  • B. hasProtagonist
    Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
  • C. protagonistMust
    Indicates that a particular entity is required to serve as the main character or central focus within a narrative or scenario.
  • D. protagonistIs
    Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd86f20f008190be7b5848af05f2b8 completed March 20, 2026, 5:42 p.m.
PD Predicate disambiguation batch_69bd84534f9c8190bc19d4812060768d completed March 20, 2026, 5:30 p.m.
Created at: March 20, 2026, 1:54 p.m.