Triple
T10834201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaspard |
E255704
|
entity |
| Predicate | hasFeminineForm |
P1613
|
FINISHED |
| Object |
Gasparde
Gasparde is a feminine given name of French origin, serving as the female form of Gaspard.
|
E891639
|
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: Gasparde | Statement: [Gaspard, hasFeminineForm, Gasparde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gasparde Context triple: [Gaspard, hasFeminineForm, Gasparde]
-
A.
Guisa
Guisa is a municipality and town located in Cuba’s eastern Granma Province, known for its rural character and historical significance in the Cuban Revolution.
-
B.
Gaspar
Gaspar is the given name of Gaspar de Guzmán, Count-Duke of Olivares, a powerful 17th-century Spanish royal favorite and statesman under King Philip IV.
-
C.
Elviro
Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
-
D.
Erquito
Erquito is a small locality within the municipality of Alajeró on the island of La Gomera in Spain’s Canary Islands.
-
E.
Guereda
Guereda is a town in eastern Chad that serves as an administrative and market center in the Wadi Fira region.
- 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: Gasparde Triple: [Gaspard, hasFeminineForm, Gasparde]
Generated description
Gasparde is a feminine given name of French origin, serving as the female form of Gaspard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gasparde Target entity description: Gasparde is a feminine given name of French origin, serving as the female form of Gaspard.
-
A.
Guisa
Guisa is a municipality and town located in Cuba’s eastern Granma Province, known for its rural character and historical significance in the Cuban Revolution.
-
B.
Gaspar
Gaspar is the given name of Gaspar de Guzmán, Count-Duke of Olivares, a powerful 17th-century Spanish royal favorite and statesman under King Philip IV.
-
C.
Elviro
Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
-
D.
Erquito
Erquito is a small locality within the municipality of Alajeró on the island of La Gomera in Spain’s Canary Islands.
-
E.
Guereda
Guereda is a town in eastern Chad that serves as an administrative and market center in the Wadi Fira region.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d74425447081908fb51c7edf54af67 |
completed | April 9, 2026, 6:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e154a582188190af96ae0d5cc08dc4 |
completed | April 16, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69e1739ed9b88190949125759f42efd2 |
completed | April 16, 2026, 11:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e175ecef0c8190b08052d751f1a608 |
completed | April 16, 2026, 11:51 p.m. |
Created at: April 8, 2026, 9:19 p.m.