Triple

T21379595
Position Surface form Disambiguated ID Type / Status
Subject Jeanbon Saint-André E527308 entity
Predicate givenName P17 FINISHED
Object Jean
Jean is the given name of Jeanbon Saint-André, a prominent French revolutionary politician and member of the Committee of Public Safety during the French Revolution.
E209182 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: Jean | Statement: [Jeanbon Saint-André, givenName, Jean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean
Context triple: [Jeanbon Saint-André, givenName, Jean]
  • A. Jean
    Jean is the given first name of Henry Dunant, the Swiss humanitarian who founded the Red Cross and received the first Nobel Peace Prize.
  • B. Jean
    Jean is a fictional mother character from the film "Sweet Sixteen."
  • C. Jean
    Jean is the central protagonist of the crime drama film "I'm Your Woman," a young mother forced into a perilous life on the run after her husband's criminal activities unravel.
  • D. Jean
    Jean is the given name of the actress better known professionally as Vivean Gray, recognized for her roles in British and Australian film and television.
  • E. Jean
    Jean is a fictional character associated with the story of the rhinoceros, likely from Eugène Ionesco’s absurdist play "Rhinocéros."
  • 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: Jean
Triple: [Jeanbon Saint-André, givenName, Jean]
Generated description
Jean is the given name of Jeanbon Saint-André, a prominent French revolutionary politician and member of the Committee of Public Safety during the French Revolution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jean
Target entity description: Jean is the given name of Jeanbon Saint-André, a prominent French revolutionary politician and member of the Committee of Public Safety during the French Revolution.
  • A. Jean
    Jean is the given first name of Henry Dunant, the Swiss humanitarian who founded the Red Cross and received the first Nobel Peace Prize.
  • B. Jean chosen
    Jean is a common French given name used for both males and females, equivalent to "John" in English.
  • C. Jean
    Jean is a given name associated here with Georges Cuvier, the influential French naturalist and zoologist who founded the field of comparative anatomy and helped establish extinction as a scientific fact.
  • D. Jean
    Jean is the given first name of the Canadian novelist Margaret Laurence, a central figure in 20th-century Canadian literature.
  • E. Jean
    Jean is the given name of the actress better known professionally as Vivean Gray, recognized for her roles in British and Australian film and television.
  • F. None of above.

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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0cc2b5c8190aa5f20f920523fe9 completed April 22, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09b42473b08190b0cf48ed71c09de4 completed May 17, 2026, 12:27 p.m.
NEDg Description generation batch_6a09b494bc348190b72a5e862b74711a completed May 17, 2026, 12:29 p.m.
NED2 Entity disambiguation (via description) batch_6a09b60be86c8190ba4e0890da8dadb1 completed May 17, 2026, 12:35 p.m.
Created at: April 16, 2026, 5:11 p.m.