Triple
T5808912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Antonio Páez |
E128817
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Páez
Páez is a Spanish-language surname most notably associated with Venezuelan independence leader and former president José Antonio Páez.
|
E547566
|
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: Páez | Statement: [José Antonio Páez, familyName, Páez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Páez Context triple: [José Antonio Páez, familyName, Páez]
-
A.
Echeverría
Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
-
B.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
-
C.
Peláez
Peláez is a Spanish surname of likely Galician or Asturian origin, borne by various historical and contemporary figures.
-
D.
Rojas
Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
-
E.
Esquivel
Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
- 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: Páez Triple: [José Antonio Páez, familyName, Páez]
Generated description
Páez is a Spanish-language surname most notably associated with Venezuelan independence leader and former president José Antonio Páez.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Páez Target entity description: Páez is a Spanish-language surname most notably associated with Venezuelan independence leader and former president José Antonio Páez.
-
A.
Echeverría
Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
-
B.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
-
C.
Peláez
Peláez is a Spanish surname of likely Galician or Asturian origin, borne by various historical and contemporary figures.
-
D.
Rojas
Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
-
E.
Esquivel
Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1867a481909a7ea3331dbb04ce |
completed | March 22, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0983ded9c8190b37372627c1e3a50 |
completed | March 23, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c0990bf38081908c09c5dfe660c35b |
completed | March 23, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c099bd26fc8190a58bf483a6d4cbca |
completed | March 23, 2026, 1:39 a.m. |
Created at: March 22, 2026, 3:52 p.m.