Triple

T19322776
Position Surface form Disambiguated ID Type / Status
Subject Melot E483267 entity
Predicate relationshipToKingMarke P21467 FINISHED
Object vassal 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: vassal | Statement: [Melot, relationshipToKingMarke, vassal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipToKingMarke
Context triple: [Melot, relationshipToKingMarke, vassal]
  • A. relationshipToThorismund
    Indicates the specific type of relationship or connection an entity has to Thorismund.
  • B. relationshipToCharlesV
    Indicates the specific familial or social relationship that one entity has to Charles V.
  • C. marriageToEdwardTheConfessor
    Indicates a marital relationship in which the subject is married to Edward the Confessor.
  • D. associatedWithMonarch chosen
    Indicates a relationship where an entity has a connection or affiliation with a monarch, such as through service, governance, lineage, or formal association.
  • E. associatedWithMonarchy
    Indicates a relationship in which something has a connection, link, or relevance to a monarchy or monarchical system.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d8948948190b76a384041333509 completed April 20, 2026, 11:27 a.m.
PD Predicate disambiguation batch_69e4dd0ef66881909d489d634eee817a completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:32 p.m.