Triple
T23696795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | María Teresa Álvarez de Toledo y Haro |
E585470
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Manuel de Silva y Mendoza, 10th Count of Galve
Manuel de Silva y Mendoza, 10th Count of Galve, was an 18th-century Spanish nobleman and grandee who held prominent titles and influence within the high aristocracy of Spain.
|
E556062
|
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: Manuel de Silva y Mendoza, 10th Count of Galve | Statement: [María Teresa Álvarez de Toledo y Haro, spouse, Manuel de Silva y Mendoza, 10th Count of Galve]
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: Manuel de Silva y Mendoza, 10th Count of Galve Triple: [María Teresa Álvarez de Toledo y Haro, spouse, Manuel de Silva y Mendoza, 10th Count of Galve]
Generated description
Manuel de Silva y Mendoza, 10th Count of Galve, was an 18th-century Spanish nobleman and grandee who held prominent titles and influence within the high aristocracy of Spain.
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_69e24904bd508190abfcb74855de2918 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b5c65ab88190be59a8fb731cf030 |
completed | April 29, 2026, 7:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f45ca2b3c819087563b42e290cdf9 |
completed | May 21, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_6a0f47644edc819095956da9a92ceb91 |
completed | May 21, 2026, 5:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0f48696d40819093e5fbeffa0b8925 |
completed | May 21, 2026, 6:01 p.m. |
Created at: April 17, 2026, 6:52 p.m.