Triple
T3263412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando de Valdés |
E68465
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
de Valdés
de Valdés is a Spanish surname historically associated with notable figures in politics, religion, and the arts.
|
E346311
|
NE FINISHED |
How this triple was built (4 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: de Valdés | Statement: [Fernando de Valdés, familyName, de Valdés]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Valdés Context triple: [Fernando de Valdés, familyName, de Valdés]
-
A.
de Villarroel
de Villarroel is a Spanish surname historically associated with military and noble lineages, notably including officers in the armies of the Spanish monarchy.
-
B.
Echeandía
Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
-
C.
Echeverría
Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
-
D.
Herrero
Herrero is a Spanish occupational surname derived from the word for "blacksmith" or "smith."
-
E.
Baquedano
Baquedano is a major interchange station in the Santiago Metro system, serving as a key hub that connects multiple lines in central Santiago, Chile.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: de Valdés Triple: [Fernando de Valdés, familyName, de Valdés]
Generated description
de Valdés is a Spanish surname historically associated with notable figures in politics, religion, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Valdés Target entity description: de Valdés is a Spanish surname historically associated with notable figures in politics, religion, and the arts.
-
A.
de Villarroel
de Villarroel is a Spanish surname historically associated with military and noble lineages, notably including officers in the armies of the Spanish monarchy.
-
B.
Echeandía
Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
-
C.
Echeverría
Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
-
D.
Herrero
Herrero is a Spanish occupational surname derived from the word for "blacksmith" or "smith."
-
E.
Baquedano
Baquedano is a major interchange station in the Santiago Metro system, serving as a key hub that connects multiple lines in central Santiago, Chile.
- F. None of above. chosen
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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafaa35e48190b894ca41dd65932b |
completed | March 8, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3c4323c819087a7c6e6c8a7b030 |
completed | March 12, 2026, 5:11 p.m. |
| NEDg | Description generation | batch_69b3002b38808190ac238fc912bf14ba |
completed | March 12, 2026, 6:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b312b273b48190a949e61b87722084 |
completed | March 12, 2026, 7:23 p.m. |
Created at: March 8, 2026, 3:09 p.m.