Triple
T9520837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alonso Quixano |
E229638
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | Don Quijote |
E43700
|
NE FINISHED |
How this triple was built (2 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: Don Quijote | Statement: [Alonso Quixano, hasAlias, Don Quijote]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Quijote Context triple: [Alonso Quixano, hasAlias, Don Quijote]
-
A.
Don Quixote
chosen
Don Quixote is a classic Spanish novel by Miguel de Cervantes that follows the misadventures of an idealistic would-be knight and his squire as they pursue chivalric fantasies in a prosaic world.
-
B.
Don Quixote
Don Quixote is a tone poem by Richard Strauss that musically depicts the adventures and delusions of Cervantes’ iconic knight-errant through a series of symphonic variations.
-
C.
Fuente del Quijote
Fuente del Quijote is a fountain in Mexico City’s historic Alameda Central park that features imagery inspired by Miguel de Cervantes’ iconic character Don Quixote.
-
D.
La Mancha
La Mancha is a historic, arid region in central Spain best known as the home of Cervantes’ fictional knight-errant Don Quixote.
-
E.
Lazarillo de Tormes
Lazarillo de Tormes is a seminal anonymous Spanish novella that inaugurated the picaresque genre by depicting the misadventures of a low-born rogue navigating a corrupt society.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9884dd5c8190b69c178cb2ac75c2 |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cb2aaef481908a7be61bbfc3b008 |
completed | April 5, 2026, 8:50 p.m. |
Created at: March 30, 2026, 7:59 p.m.