Triple

T11930047
Position Surface form Disambiguated ID Type / Status
Subject Ludwik E283886 entity
Predicate equivalentFormInLanguage P28329 FINISHED
Object Louis (French)
Louis is the French given name corresponding to the name Ludwik in other languages.
 E955588 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: Louis (French) | Statement: [Ludwik, equivalentFormInLanguage, Louis (French)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Louis (French)
Context triple: [Ludwik, equivalentFormInLanguage, Louis (French)]
  • A. Jean (French)
    Jean is the standard French given name equivalent to the English name John, widely used for men in French-speaking countries.
  • B. The French
    The French is a renowned fine-dining restaurant in Manchester’s Midland Hotel, known for its modern British cuisine and historic, elegant setting.
  • C. David (French)
    David (French) is the French form of the given name "David," commonly used in French-speaking countries and derived from the Hebrew name meaning "beloved."
  • D. French
    French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
  • E. French
    French is a common English-language surname of French origin borne by various notable individuals, including philanthropist Melinda Ann French (Melinda Gates).
  • 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: Louis (French)
Triple: [Ludwik, equivalentFormInLanguage, Louis (French)]
Generated description
Louis is the French given name corresponding to the name Ludwik in other languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Louis (French)
Target entity description: Louis is the French given name corresponding to the name Ludwik in other languages.
  • A. Jean (French)
    Jean is the standard French given name equivalent to the English name John, widely used for men in French-speaking countries.
  • B. The French
    The French is a renowned fine-dining restaurant in Manchester’s Midland Hotel, known for its modern British cuisine and historic, elegant setting.
  • C. David (French)
    David (French) is the French form of the given name "David," commonly used in French-speaking countries and derived from the Hebrew name meaning "beloved."
  • D. French
    French is a common English-language surname of French origin borne by various notable individuals, including philanthropist Melinda Ann French (Melinda Gates).
  • E. French
    French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90303a9a88190a4044e6310ba9b4b completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4406ee910819093c72738bfe3f92c completed May 1, 2026, 5:55 a.m.
NEDg Description generation batch_69f448fb898081908a8ffd0da703c0f9 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44b9e662881908549e041f6a05e38 completed May 1, 2026, 6:43 a.m.
Created at: April 8, 2026, 9:45 p.m.