Triple
T9431040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dulcinea del Toboso |
E227374
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
del Toboso
del Toboso is the fictional surname of Dulcinea, the idealized lady love of Don Quixote in Miguel de Cervantes' classic novel.
|
E799818
|
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: del Toboso | Statement: [Dulcinea del Toboso, hasFamilyName, del Toboso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: del Toboso Context triple: [Dulcinea del Toboso, hasFamilyName, del Toboso]
-
A.
de Bobadilla
De Bobadilla is a Spanish surname historically associated with several notable figures, including colonial administrators and nobility in Spain and its overseas territories.
-
B.
de Perales
de Perales is a Spanish-language surname most notably associated with Cuban-American beautician and entrepreneur Mirta de Perales.
-
C.
Negrete
Negrete is a small town and commune in Chile’s Biobío Region, known for its rural character and location near the Biobío River.
-
D.
del Valle
del Valle is a Spanish-language surname notably borne by Central American statesman and intellectual José Cecilio del Valle.
-
E.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
- 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: del Toboso Triple: [Dulcinea del Toboso, hasFamilyName, del Toboso]
Generated description
del Toboso is the fictional surname of Dulcinea, the idealized lady love of Don Quixote in Miguel de Cervantes' classic novel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: del Toboso Target entity description: del Toboso is the fictional surname of Dulcinea, the idealized lady love of Don Quixote in Miguel de Cervantes' classic novel.
-
A.
de Bobadilla
De Bobadilla is a Spanish surname historically associated with several notable figures, including colonial administrators and nobility in Spain and its overseas territories.
-
B.
de Perales
de Perales is a Spanish-language surname most notably associated with Cuban-American beautician and entrepreneur Mirta de Perales.
-
C.
Negrete
Negrete is a small town and commune in Chile’s Biobío Region, known for its rural character and location near the Biobío River.
-
D.
del Valle
del Valle is a Spanish-language surname notably borne by Central American statesman and intellectual José Cecilio del Valle.
-
E.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e5ed7408190beda5fb078e9345a |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1104033c08190a3670b017bd984d5 |
completed | April 4, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_69d110ffda7881908e4edd692b818464 |
completed | April 4, 2026, 1:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d11190dd6c8190b6318df44daa9858 |
completed | April 4, 2026, 1:26 p.m. |
Created at: March 30, 2026, 7:49 p.m.