Triple
T2558278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | María Enríquez de Toledo y Guzmán |
E56779
|
entity |
| Predicate | house |
P1505
|
FINISHED |
| Object |
Alba
Alba is a prominent Spanish noble house historically associated with the powerful Dukes of Alba.
|
E278291
|
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: Alba | Statement: [María Enríquez de Toledo y Guzmán, house, Alba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alba Context triple: [María Enríquez de Toledo y Guzmán, house, Alba]
-
A.
Alba
Alba is the Gaelic name for the early medieval kingdom that evolved into the nation of Scotland.
-
B.
Alba Regia
Alba Regia is the historical Latin name of the Hungarian city of Székesfehérvár, a former royal seat and coronation site.
-
C.
ALBA
ALBA (Bolivarian Alliance for the Peoples of Our America) is a regional political and economic bloc founded by left-leaning Latin American and Caribbean countries to promote social, economic, and political integration as an alternative to U.S.-backed free trade agreements.
-
D.
Atilia
Atilia was the first wife of the Roman statesman Cato the Younger and the mother of two of his children.
-
E.
Alva
Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
- 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: Alba Triple: [María Enríquez de Toledo y Guzmán, house, Alba]
Generated description
Alba is a prominent Spanish noble house historically associated with the powerful Dukes of Alba.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alba Target entity description: Alba is a prominent Spanish noble house historically associated with the powerful Dukes of Alba.
-
A.
Alba
Alba is the Gaelic name for the early medieval kingdom that evolved into the nation of Scotland.
-
B.
Alba Regia
Alba Regia is the historical Latin name of the Hungarian city of Székesfehérvár, a former royal seat and coronation site.
-
C.
ALBA
ALBA (Bolivarian Alliance for the Peoples of Our America) is a regional political and economic bloc founded by left-leaning Latin American and Caribbean countries to promote social, economic, and political integration as an alternative to U.S.-backed free trade agreements.
-
D.
Atilia
Atilia was the first wife of the Roman statesman Cato the Younger and the mother of two of his children.
-
E.
Alva
Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd33153fc8190aa106e23ee645f63 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d2061108190b6250d2943736ae4 |
completed | March 9, 2026, 11:52 p.m. |
| NEDg | Description generation | batch_69af5e0b40e0819098b6cbe31152a18c |
completed | March 9, 2026, 11:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af5e69ac3481908f48ad0efcd13767 |
completed | March 9, 2026, 11:57 p.m. |
Created at: March 6, 2026, 9:48 p.m.