Triple

T7638540
Position Surface form Disambiguated ID Type / Status
Subject Ambroise Paré E172941 entity
Predicate givenName P17 FINISHED
Object Ambroise
Ambroise is a French given name historically borne by notable figures such as the pioneering 16th-century surgeon Ambroise Paré.
 E566884 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: Ambroise | Statement: [Ambroise Paré, givenName, Ambroise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ambroise
Context triple: [Ambroise Paré, givenName, Ambroise]
  • A. Ambroise
    Ambroise is a modern digital revival of classic Didone-style typefaces, characterized by high contrast between thick and thin strokes and elegant, refined letterforms.
  • B. Estienne
    Estienne is the surname of a prominent French family of Renaissance printers and scholars, notably active in Paris and Geneva.
  • C. Firmin
    Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
  • D. Grégoire
    Grégoire is the French form of the given name Gregory, commonly used in French-speaking countries.
  • E. Étienne
    Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • 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: Ambroise
Triple: [Ambroise Paré, givenName, Ambroise]
Generated description
Ambroise is a French given name historically borne by notable figures such as the pioneering 16th-century surgeon Ambroise Paré.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ambroise
Target entity description: Ambroise is a French given name historically borne by notable figures such as the pioneering 16th-century surgeon Ambroise Paré.
  • A. Ambroise chosen
    Ambroise is a modern digital revival of classic Didone-style typefaces, characterized by high contrast between thick and thin strokes and elegant, refined letterforms.
  • B. Estienne
    Estienne is the surname of a prominent French family of Renaissance printers and scholars, notably active in Paris and Geneva.
  • C. Firmin
    Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
  • D. Grégoire
    Grégoire is the French form of the given name Gregory, commonly used in French-speaking countries.
  • E. Étienne
    Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6facb14188190952de18fa2699784 completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8de9d63908190b1adc84e5123b9c0 completed March 29, 2026, 8:11 a.m.
NEDg Description generation batch_69c8df2bb2708190906d6c3b842b4524 completed March 29, 2026, 8:13 a.m.
NED2 Entity disambiguation (via description) batch_69c8e02820a08190aaf94583ea7fad0f completed March 29, 2026, 8:17 a.m.
Created at: March 27, 2026, 3:57 p.m.