Triple

T672088
Position Surface form Disambiguated ID Type / Status
Subject Cardinal Richelieu E12992 entity
Predicate givenName P17 FINISHED
Object Armand
Armand is the given name of Cardinal Richelieu, the powerful 17th-century French statesman and chief minister to King Louis XIII.
E110947 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: [Cardinal Richelieu, givenName, Armand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armand
Context triple: [Cardinal Richelieu, givenName, Armand]
  • A. Armand
    Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
  • B. Alphonse
    Alphonse is the given first name of the infamous American gangster Al Capone, a major organized crime figure during the Prohibition era.
  • C. Jules Reyes
    Jules Reyes is a character in the Halo universe, known as a close associate and ally of Spartan-IV Amaya (Amara) Namani within the UNSC.
  • D. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • E. André
    André is a given name of French origin commonly used in various languages as a form of "Andrew."
  • 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: [Cardinal Richelieu, givenName, Armand]
Generated description
Armand is the given name of Cardinal Richelieu, the powerful 17th-century French statesman and chief minister to King Louis XIII.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Armand
Target entity description: Armand is the given name of Cardinal Richelieu, the powerful 17th-century French statesman and chief minister to King Louis XIII.
  • A. Armand
    Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
  • B. Alphonse
    Alphonse is the given first name of the infamous American gangster Al Capone, a major organized crime figure during the Prohibition era.
  • C. Jules Reyes
    Jules Reyes is a character in the Halo universe, known as a close associate and ally of Spartan-IV Amaya (Amara) Namani within the UNSC.
  • D. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • E. André
    André is a given name of French origin commonly used in various languages as a form of "Andrew."
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a021b908819086f7cfe65def4728 completed March 1, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826c02e6c8190843304ae6e27ae37 completed March 4, 2026, 12:34 p.m.
NEDg Description generation batch_69a83522fd90819083fb32eb7189e1e6 completed March 4, 2026, 1:35 p.m.
NED2 Entity disambiguation (via description) batch_69a835c147e08190ad7451472ebd2c72 completed March 4, 2026, 1:38 p.m.
Created at: March 1, 2026, 7:36 p.m.