Triple

T3353748
Position Surface form Disambiguated ID Type / Status
Subject Armand Assante E70556 entity
Predicate givenName P17 FINISHED
Object Armand
Armand is a masculine given name of French origin, historically associated with nobility and used in various European and English-speaking cultures.
 E351737 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: Armand | Statement: [Armand Assante, givenName, Armand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Armand
Context triple: [Armand Assante, givenName, 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
    Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
  • D. Jules
    Jules is a given name most famously associated with French poet Jules Laforgue, a key figure in Symbolist and early modernist literature.
  • E. Alphonse
    Alphonse is the given first name of the infamous American gangster Al Capone, a major organized crime figure during the Prohibition era.
  • 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: Armand
Triple: [Armand Assante, givenName, Armand]
Generated description
Armand is a masculine given name of French origin, historically associated with nobility and used in various European and English-speaking cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Armand
Target entity description: Armand is a masculine given name of French origin, historically associated with nobility and used in various European and English-speaking cultures.
  • A. Armand
    Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
  • B. Armand
    Armand is the given name of Cardinal Richelieu, the powerful 17th-century French statesman and chief minister to King Louis XIII.
  • C. 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.
  • D. Jules
    Jules is a given name most famously associated with French poet Jules Laforgue, a key figure in Symbolist and early modernist literature.
  • E. Alphonse
    Alphonse is the given first name of the infamous American gangster Al Capone, a major organized crime figure during the Prohibition era.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb24036848190bac779d17dfdce3b completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b325373a1c8190b26d883e2f0dd92b completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b329016c7c819098b494ae5d712036 completed March 12, 2026, 8:58 p.m.
NED2 Entity disambiguation (via description) batch_69b329aca800819091f287a2f00557a2 completed March 12, 2026, 9:01 p.m.
Created at: March 8, 2026, 3:13 p.m.