Triple
T6285699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Javier Solana |
E140893
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Solana
Solana is a Spanish surname most notably associated with Javier Solana, a prominent diplomat and former NATO Secretary General.
|
E582698
|
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: Solana | Statement: [Javier Solana, familyName, Solana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solana Context triple: [Javier Solana, familyName, Solana]
-
A.
Potos
Potos is a coastal village and popular tourist resort on the Greek island of Thasos in the northern Aegean Sea.
-
B.
Saura
Saura is a Spanish surname most prominently associated with acclaimed film director Carlos Saura.
-
C.
Arviat
Arviat is a predominantly Inuit hamlet on the western shore of Hudson Bay in Nunavut, Canada, known for its traditional culture and remote Arctic setting.
-
D.
Baní
Baní is a city in the Peravia Province of the Dominican Republic, known as an important agricultural and historical center in the southern region of the country.
-
E.
Sonoyta
Sonoyta is a small town in the Mexican state of Sonora, located near the U.S. border opposite Lukeville, Arizona, and serving as a gateway to the surrounding desert and protected natural areas.
- 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: Solana Triple: [Javier Solana, familyName, Solana]
Generated description
Solana is a Spanish surname most notably associated with Javier Solana, a prominent diplomat and former NATO Secretary General.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Solana Target entity description: Solana is a Spanish surname most notably associated with Javier Solana, a prominent diplomat and former NATO Secretary General.
-
A.
Potos
Potos is a coastal village and popular tourist resort on the Greek island of Thasos in the northern Aegean Sea.
-
B.
Saura
Saura is a Spanish surname most prominently associated with acclaimed film director Carlos Saura.
-
C.
Arviat
Arviat is a predominantly Inuit hamlet on the western shore of Hudson Bay in Nunavut, Canada, known for its traditional culture and remote Arctic setting.
-
D.
Baní
Baní is a city in the Peravia Province of the Dominican Republic, known as an important agricultural and historical center in the southern region of the country.
-
E.
Sonoyta
Sonoyta is a small town in the Mexican state of Sonora, located near the U.S. border opposite Lukeville, Arizona, and serving as a gateway to the surrounding desert and protected natural areas.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063fe59fc81908dbd968017771190 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5196defc08190810c6d208ade918b |
completed | March 26, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69c529857afc8190b8807615ea2b4e4d |
completed | March 26, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c58854c0c081908beccb626e923af3 |
completed | March 26, 2026, 7:26 p.m. |
Created at: March 22, 2026, 4:26 p.m.