Triple
T9745516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valeriano Weyler |
E236295
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Weyler |
E236295
|
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: Weyler | Statement: [Valeriano Weyler, familyName, Weyler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weyler Context triple: [Valeriano Weyler, familyName, Weyler]
-
A.
Weyler
chosen
Weyler is a Spanish surname most notably associated with Valeriano Weyler, a 19th-century Spanish general and colonial administrator.
-
B.
Valcheta
Valcheta is a small town in northern Patagonia, Argentina, known as a local service and transport hub within Río Negro Province.
-
C.
Banastre
Banastre is a given name most notably borne by Banastre Tarleton, a British cavalry officer and politician active during the American Revolutionary War.
-
D.
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.
-
E.
Consuegra
Consuegra is a historic town in Spain’s La Mancha region, known for its hilltop castle and iconic windmills associated with Don Quixote.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f65ad788190b68d731b6f516d93 |
completed | April 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b004a6e88190a974f4a8973f91ef |
completed | April 5, 2026, 12:42 a.m. |
Created at: March 30, 2026, 8:23 p.m.