Triple

T38344972
Position Surface form Disambiguated ID Type / Status
Subject The Lady Shogun and Her Men E1041513 entity
Predicate featuresFictionalInstitution P145031 FINISHED
Object female-led shogunate 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: female-led shogunate | Statement: [The Lady Shogun and Her Men, featuresFictionalInstitution, female-led shogunate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresFictionalInstitution
Context triple: [The Lady Shogun and Her Men, featuresFictionalInstitution, female-led shogunate]
  • A. featuresInstitution
    Indicates that one entity includes, presents, or highlights an institution as a notable component or participant.
  • B. featuresFictionalElement
    Indicates that one entity includes, presents, or incorporates a fictional element (such as an imaginary character, place, object, or concept) as part of its content or composition.
  • C. hasFictionalSchool
    Indicates that an entity is associated with or contains a school that exists only within a fictional or imaginary context.
  • D. featuresFictionalForm
    Indicates that one entity includes, presents, or incorporates a fictional representation or version of another entity.
  • E. featuresFictionalUnit chosen
    Indicates that something includes or presents a fictional unit (such as a character, group, or organization) as part of its content or structure.
  • 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_69f76e2ad95481908c920c0e5c1c3e26 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037c903be48190a2fafa53d7d50d42 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a1c850c819088795a7ae59bdeb8 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:30 p.m.