Triple

T9450776
Position Surface form Disambiguated ID Type / Status
Subject Melinda Ann French E227883 entity
Predicate familyName P18 FINISHED
Object French
French is a common English-language surname of French origin borne by various notable individuals, including philanthropist Melinda Ann French (Melinda Gates).
 E801235 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: French | Statement: [Melinda Ann French, familyName, French]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: French
Context triple: [Melinda Ann French, familyName, French]
  • A. 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.
  • B. FR
    FR is the vehicle registration code for the Freiburg im Breisgau district in the German state of Baden-Württemberg.
  • C. FR
    FR is the Swiss vehicle registration code for the canton of Fribourg.
  • D. FR
    FR is the IATA airline designator used to identify Ryanair flights.
  • E. French Corner
    French Corner is the English meaning of the name "Franschhoek," a South African town historically settled by French Huguenots.
  • 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: French
Triple: [Melinda Ann French, familyName, French]
Generated description
French is a common English-language surname of French origin borne by various notable individuals, including philanthropist Melinda Ann French (Melinda Gates).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: French
Target entity description: French is a common English-language surname of French origin borne by various notable individuals, including philanthropist Melinda Ann French (Melinda Gates).
  • A. 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.
  • B. FR
    FR is the vehicle registration code for the Freiburg im Breisgau district in the German state of Baden-Württemberg.
  • C. FR
    FR is the Swiss vehicle registration code for the canton of Fribourg.
  • D. FR
    FR is the IATA airline designator used to identify Ryanair flights.
  • E. French Corner
    French Corner is the English meaning of the name "Franschhoek," a South African town historically settled by French Huguenots.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f6649a48190b6844daa6202efe5 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12272a2dc8190892a22db0799b6a4 completed April 4, 2026, 2:38 p.m.
NEDg Description generation batch_69d12395841c8190857de8a50ab6345c completed April 4, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69d1275bcbd88190a5742a9cf802425a completed April 4, 2026, 2:59 p.m.
Created at: March 30, 2026, 7:51 p.m.