Triple

T1811592
Position Surface form Disambiguated ID Type / Status
Subject Hippolyte Fizeau E40343 entity
Predicate givenName P17 FINISHED
Object 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.
 E216479 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: [Hippolyte Fizeau, givenName, Armand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Armand
Context triple: [Hippolyte Fizeau, 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 French poet and Nobel laureate Sully Prudhomme.
  • C. Jules
    Jules is a given name most famously associated with French poet Jules Laforgue, a key figure in Symbolist and early modernist literature.
  • D. Alphonse
    Alphonse is the given first name of the infamous American gangster Al Capone, a major organized crime figure during the Prohibition era.
  • E. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • 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: [Hippolyte Fizeau, givenName, Armand]
Generated description
Armand is the given first name of the 19th-century French physicist Hippolyte Fizeau, known for his pioneering measurements of the speed of light.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Armand
Target entity description: Armand is the given first name of the 19th-century French physicist Hippolyte Fizeau, known for his pioneering measurements of the speed of light.
  • 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. Jules
    Jules is a given name most famously associated with French poet Jules Laforgue, a key figure in Symbolist and early modernist literature.
  • D. Alphonse
    Alphonse is the given first name of the infamous American gangster Al Capone, a major organized crime figure during the Prohibition era.
  • E. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c64bc08190b993216890752b46 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3c192f08190a1a134e541be1103 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf5b31274819086c266c1a8ba2cd8 completed March 8, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69adf6108c988190b992de20cf287da7 completed March 8, 2026, 10:20 p.m.
Created at: March 4, 2026, 7:32 p.m.