Triple
T23471579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sancho I of León |
E570142
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | Sancho the Fat |
—
|
NE NERFINISHED |
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: Sancho the Fat | Statement: [Sancho I of León, hasAlias, Sancho the Fat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sancho the Fat Context triple: [Sancho I of León, hasAlias, Sancho the Fat]
-
A.
Sancho
Sancho is a neighborhood or district within the Brazilian coastal city of Recife.
-
B.
Sancho
chosen
Sancho is a masculine given name of Spanish origin, historically borne by several medieval kings and nobles in the Iberian Peninsula.
-
C.
Sancho Gracia
Sancho Gracia was a Spanish actor best known for his prolific film and television career, particularly in Westerns and historical dramas.
-
D.
Sancho Panza
Sancho Panza is the loyal, down-to-earth squire and comic foil to the idealistic knight-errant Don Quixote in Miguel de Cervantes' classic novel.
-
E.
Sancho of Majorca
Sancho of Majorca was a 14th-century monarch from the House of Barcelona who ruled the Kingdom of Majorca and its associated territories in the western Mediterranean.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a700bd0481908047aa4678217cbd |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:55 p.m.