Triple
T9431484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sancho Panza |
E227384
|
entity |
| Predicate | hasRelationshipWith |
P2830
|
FINISHED |
| Object | Rocinante |
E227376
|
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: Rocinante | Statement: [Sancho Panza, hasRelationshipWith, Rocinante]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rocinante Context triple: [Sancho Panza, hasRelationshipWith, Rocinante]
-
A.
Rocinante
chosen
Rocinante is Don Quixote’s gaunt and aging but proudly named horse, symbolizing his delusional chivalric ideals in Miguel de Cervantes’ novel.
-
B.
Calidore
Calidore is a knight of Courtesy in Edmund Spenser’s epic poem "The Faerie Queene," embodying ideal chivalric manners and moral virtue.
-
C.
Panza
Panza is the surname of Sancho Panza, the loyal squire and comic foil to Don Quixote in Miguel de Cervantes' classic novel.
-
D.
Panza
Panza is a locality within the municipality of Forio on the Italian island of Ischia, known as a small coastal village and tourist area.
-
E.
Griante
Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e6059bc8190a7e98aef3caabd0b |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1104033c08190a3670b017bd984d5 |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:49 p.m.