Triple

T20658712
Position Surface form Disambiguated ID Type / Status
Subject Armande E507696 entity
Predicate etymologicalRelation P2530 FINISHED
Object Armand NE NERFINISHED

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: Armand | Statement: [Armande, etymologicalRelation, Armand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armand
Context triple: [Armande, etymologicalRelation, Armand]
  • A. Armand
    Armand is the given name of Cardinal Richelieu, the powerful 17th-century French statesman and chief minister to King Louis XIII.
  • B. Armand
    Armand is the given first name of the 19th-century French physicist Hippolyte Fizeau, known for his pioneering measurements of the speed of light.
  • C. Armand chosen
    Armand is a masculine given name of French origin, historically associated with nobility and used in various European and English-speaking cultures.
  • D. Armand
    Armand is a central vampire character in the "Lestat" musical, adapted from Anne Rice’s The Vampire Chronicles.
  • E. Armand
    Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2eefd5c8190a71d4be690a6ae0e completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:43 a.m.