Triple

T7623259
Position Surface form Disambiguated ID Type / Status
Subject Armgard E172552 entity
Predicate hasRelatedName P3889 FINISHED
Object Ermgard E172552 NE 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: Ermgard | Statement: [Armgard, hasRelatedName, Ermgard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ermgard
Context triple: [Armgard, hasRelatedName, Ermgard]
  • A. Luitgard
    Luitgard was the fourth and last wife of Charlemagne, serving briefly as Frankish queen consort in the late 8th century.
  • B. Ottla
    Ottla was the beloved younger sister of writer Franz Kafka, known from his diaries and letters for her close relationship with him and her tragic death in the Holocaust.
  • C. Ermentrud
    Ermentrud is a given name, typically a historical or medieval European female name, that serves as a variant form of Ermintrude.
  • D. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • E. Armgard chosen
    Armgard is a feminine given name of German origin, historically borne by European nobility such as Armgard von Cramm, the mother of Prince Bernhard of Lippe-Biesterfeld.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa65309c8190b95b894c051b003d completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89aa7b264819096ddeda8e4c5ddb4 completed March 29, 2026, 3:21 a.m.
Created at: March 27, 2026, 3:56 p.m.