Triple

T2595008
Position Surface form Disambiguated ID Type / Status
Subject Ludwig E58207 entity
Predicate hasVariantForm P457 FINISHED
Object Ludovic
Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
E283885 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: Ludovic | Statement: [Ludwig, hasVariantForm, Ludovic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludovic
Context triple: [Ludwig, hasVariantForm, Ludovic]
  • A. Phillippe
    Phillippe is a given name and surname, typically a French-influenced variant of Philip, used for both real and fictional individuals.
  • B. Édouard
    Édouard is the French form of the given name Edward, commonly used in French-speaking countries.
  • C. Jean-Charles
    Jean-Charles is the given name of Jean-Charles Adolphe Alphand, a prominent 19th-century French engineer and landscape architect known for designing many of Paris’s parks and boulevards.
  • D. Jean Louis
    Jean Louis was a renowned French-born American costume designer celebrated for his glamorous Hollywood film and television wardrobe creations.
  • E. Louis Alexandre
    Louis Alexandre was a French admiral and legitimized son of King Louis XIV who became the powerful Count of Toulouse in the late 17th and early 18th centuries.
  • 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: Ludovic
Triple: [Ludwig, hasVariantForm, Ludovic]
Generated description
Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ludovic
Target entity description: Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
  • A. Phillippe
    Phillippe is a given name and surname, typically a French-influenced variant of Philip, used for both real and fictional individuals.
  • B. Édouard
    Édouard is the French form of the given name Edward, commonly used in French-speaking countries.
  • C. Jean-Charles
    Jean-Charles is the given name of Jean-Charles Adolphe Alphand, a prominent 19th-century French engineer and landscape architect known for designing many of Paris’s parks and boulevards.
  • D. Jean Louis
    Jean Louis was a renowned French-born American costume designer celebrated for his glamorous Hollywood film and television wardrobe creations.
  • E. Louis Alexandre
    Louis Alexandre was a French admiral and legitimized son of King Louis XIV who became the powerful Count of Toulouse in the late 17th and early 18th centuries.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd42978f881909f217e7ec9ac3144 completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af907835188190914a241e8bdf0d4f completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af90f63dac8190b3282b5029d22fab completed March 10, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69af918e7b50819082f37f9cdb3271a2 completed March 10, 2026, 3:35 a.m.
Created at: March 6, 2026, 9:49 p.m.