Triple

T57113
Position Surface form Disambiguated ID Type / Status
Subject Honorary Dame Commander of the Order of the British Empire (via Melinda French Gates) E1129 entity
Predicate honorary P301 FINISHED
Object true 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: true | Statement: [Honorary Dame Commander of the Order of the British Empire (via Melinda French Gates), honorary, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: honorary
Context triple: [Honorary Dame Commander of the Order of the British Empire (via Melinda French Gates), honorary, true]
  • A. honors
    Indicates that one entity shows respect, recognition, or esteem toward another entity, often in a formal or ceremonial way.
  • B. honorificRank chosen
    Indicates that one entity holds a formal title or honorific status in relation to another entity.
  • C. honorificSuffix
    Indicates that one entity is a respectful or formal suffix appended to another entity’s name or title.
  • D. honorificTitle
    Indicates that one entity serves as a formal honorific or respectful title used to address or refer to another entity.
  • E. honorificPrefix
    Indicates the formal title or respectful prefix (e.g., "Dr.", "Mr.", "Prof.") used before a person's name to denote status, role, or honor.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b915c9881908c798f4dacb39f1d completed Feb. 28, 2026, 1:57 a.m.
PD Predicate disambiguation batch_69a24ac6799c8190b508933acc0a4c7d completed Feb. 28, 2026, 1:54 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.