Triple
T376966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Soto |
E8392
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Soto
Soto is a surname most prominently associated with Dominican professional baseball star Juan Soto, an elite Major League Baseball outfielder known for his exceptional hitting skills.
|
E50262
|
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: Soto | Statement: [Juan Soto, familyName, Soto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soto Context triple: [Juan Soto, familyName, Soto]
-
A.
Jorge
Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
-
B.
San Ildefonso
San Ildefonso is a historic Spanish town in the province of Segovia, best known for the Royal Palace of La Granja, a former summer residence of the Spanish monarchy.
-
C.
Andrés
Andrés is a Spanish given name commonly used as the equivalent of Andrew.
-
D.
Buenaventura de Abarzuza
Buenaventura de Abarzuza was a Spanish diplomat and politician who notably served as Spain’s representative in key late 19th-century international negotiations.
-
E.
Martínez
Martínez is a common Spanish-language surname widely borne across Spain and 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: Soto Triple: [Juan Soto, familyName, Soto]
Generated description
Soto is a surname most prominently associated with Dominican professional baseball star Juan Soto, an elite Major League Baseball outfielder known for his exceptional hitting skills.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Soto Target entity description: Soto is a surname most prominently associated with Dominican professional baseball star Juan Soto, an elite Major League Baseball outfielder known for his exceptional hitting skills.
-
A.
Jorge
Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
-
B.
San Ildefonso
San Ildefonso is a historic Spanish town in the province of Segovia, best known for the Royal Palace of La Granja, a former summer residence of the Spanish monarchy.
-
C.
Andrés
Andrés is a Spanish given name commonly used as the equivalent of Andrew.
-
D.
Buenaventura de Abarzuza
Buenaventura de Abarzuza was a Spanish diplomat and politician who notably served as Spain’s representative in key late 19th-century international negotiations.
-
E.
Martínez
Martínez is a common Spanish-language surname widely borne across Spain and 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec1804108190a1e94526b71289ea |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a40ad224588190a5648881c4319205 |
completed | March 1, 2026, 9:45 a.m. |
| NEDg | Description generation | batch_69a40cba5afc8190a8c32876777150b8 |
completed | March 1, 2026, 9:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a40d253cd881909aa69e20e7fe45f3 |
completed | March 1, 2026, 9:55 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.