Triple

T7623256
Position Surface form Disambiguated ID Type / Status
Subject Armgard E172552 entity
Predicate hasVariant P455 FINISHED
Object Armgarde
Armgarde is a feminine given name, likely of Germanic origin, used as a variant form of the name Armgard.
 E675821 NE FINISHED

How this triple was built (4 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: Armgarde | Statement: [Armgard, hasVariant, Armgarde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Armgarde
Context triple: [Armgard, hasVariant, Armgarde]
  • A. Dragoon Guards
    Dragoon Guards were British heavy cavalry regiments known for their shock combat role, ceremonial prestige, and service in major conflicts from the 18th to 20th centuries.
  • B. Armant
    Armant is a city in Egypt’s Luxor Governorate, known for its ancient Egyptian heritage and archaeological sites.
  • C. Guerrière
    Guerrière was a French warship that took part in the decisive 1827 naval Battle of Navarino during the Greek War of Independence.
  • D. Armilla
    Armilla is a municipality in the province of Granada, Spain, that hosts one of the campuses of the University of Granada.
  • E. Artegall
    Artegall is a knight of justice in Edmund Spenser’s epic poem *The Faerie Queene*, renowned for his unwavering commitment to law, equity, and righteous judgment.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Armgarde
Triple: [Armgard, hasVariant, Armgarde]
Generated description
Armgarde is a feminine given name, likely of Germanic origin, used as a variant form of the name Armgard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Armgarde
Target entity description: Armgarde is a feminine given name, likely of Germanic origin, used as a variant form of the name Armgard.
  • A. Dragoon Guards
    Dragoon Guards were British heavy cavalry regiments known for their shock combat role, ceremonial prestige, and service in major conflicts from the 18th to 20th centuries.
  • B. Armant
    Armant is a city in Egypt’s Luxor Governorate, known for its ancient Egyptian heritage and archaeological sites.
  • C. Guerrière
    Guerrière was a French warship that took part in the decisive 1827 naval Battle of Navarino during the Greek War of Independence.
  • D. Armilla
    Armilla is a municipality in the province of Granada, Spain, that hosts one of the campuses of the University of Granada.
  • E. Artegall
    Artegall is a knight of justice in Edmund Spenser’s epic poem *The Faerie Queene*, renowned for his unwavering commitment to law, equity, and righteous judgment.
  • F. None of above. chosen

Provenance (5 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_69c8687b8c7481909e8d092b558fea84 completed March 28, 2026, 11:47 p.m.
NEDg Description generation batch_69c868dfc24c81908355f36323441bfd completed March 28, 2026, 11:48 p.m.
NED2 Entity disambiguation (via description) batch_69c8696a0d588190ab1e6d4c5c4bbb44 completed March 28, 2026, 11:51 p.m.
Created at: March 27, 2026, 3:56 p.m.