Triple

T7079087
Position Surface form Disambiguated ID Type / Status
Subject His Serene Highness E164896 entity
Predicate requiresFollowingName P9013 FINISHED
Object title holder’s personal name 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: title holder’s personal name | Statement: [His Serene Highness, requiresFollowingName, title holder’s personal name]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresFollowingName
Context triple: [His Serene Highness, requiresFollowingName, title holder’s personal name]
  • A. followsNameOf chosen
    Indicates that one entity’s name comes immediately after another entity’s name in a specified ordering or sequence.
  • B. requiresCertificationForNameUse
    Indicates that the use of a particular name is conditional upon obtaining a specified certification.
  • C. usesNameForm
    Indicates that one entity adopts or applies a particular standardized form or variant of a name associated with another entity.
  • D. associatedName
    Indicates that one entity has an alternative or related name that is linked or connected to another entity.
  • E. usesNameDueTo
    Indicates that one entity adopts or applies a particular name for another entity specifically because of some motivating reason, circumstance, or dependency.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4ef47d48190b31125d1b57f7bec completed March 27, 2026, 8:13 p.m.
PD Predicate disambiguation batch_69c6e1bfcb948190a5ada74fb8c054cb completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:40 p.m.