Triple

T2258664
Position Surface form Disambiguated ID Type / Status
Subject Simon Legree E49785 entity
Predicate characterInGenre P12208 FINISHED
Object anti-slavery novel 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: anti-slavery novel | Statement: [Simon Legree, characterInGenre, anti-slavery novel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: characterInGenre
Context triple: [Simon Legree, characterInGenre, anti-slavery novel]
  • A. characterIn chosen
    Indicates that an entity appears as a character within a specified work, story, or narrative.
  • B. genreRole
    Indicates a relationship where an entity holds a specific functional or categorical role within a particular genre.
  • C. actingRoleType
    Indicates the specific type or category of role an entity performs when acting in a particular capacity or function.
  • D. hasFictionalRole
    Indicates that an entity plays or is assigned a specific role within a fictional work or narrative.
  • E. creativeRole
    Indicates that an entity holds a specific creative function or responsibility in relation to another entity, such as a work or project.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc15ad06c8190b6d0babc17015787 completed March 7, 2026, 6:10 a.m.
PD Predicate disambiguation batch_69abbdb34c148190b51e99f540f97204 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:48 p.m.