Triple
T7451445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pablo Sandoval |
E172017
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sandoval
Sandoval is a Spanish-language surname of Iberian origin borne by numerous notable figures in sports, politics, and the arts.
|
E665145
|
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: Sandoval | Statement: [Pablo Sandoval, familyName, Sandoval]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandoval Context triple: [Pablo Sandoval, familyName, Sandoval]
-
A.
Alvarado
Alvarado is a historic port city in the Mexican state of Veracruz, known for its fishing industry and location near the Gulf of Mexico.
-
B.
Barrazas
Barrazas is a locality or neighborhood that forms part of the municipality of Carolina in Puerto Rico.
-
C.
Tierra Amarilla
Tierra Amarilla is a small mining-oriented town and commune in northern Chile’s Atacama Desert, known for its copper and gold production.
-
D.
De la Garza
De la Garza is the fictional Mexican family surname central to Laura Esquivel’s novel "Like Water for Chocolate," associated with the domineering matriarch Mama Elena and her daughters.
-
E.
San Quintín
San Quintín is a coastal town in Baja California, Mexico, known for its agricultural production, volcanic landscapes, and growing tourism along the Pacific coast.
- 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: Sandoval Triple: [Pablo Sandoval, familyName, Sandoval]
Generated description
Sandoval is a Spanish-language surname of Iberian origin borne by numerous notable figures in sports, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sandoval Target entity description: Sandoval is a Spanish-language surname of Iberian origin borne by numerous notable figures in sports, politics, and the arts.
-
A.
Alvarado
Alvarado is a historic port city in the Mexican state of Veracruz, known for its fishing industry and location near the Gulf of Mexico.
-
B.
Barrazas
Barrazas is a locality or neighborhood that forms part of the municipality of Carolina in Puerto Rico.
-
C.
Tierra Amarilla
Tierra Amarilla is a small mining-oriented town and commune in northern Chile’s Atacama Desert, known for its copper and gold production.
-
D.
De la Garza
De la Garza is the fictional Mexican family surname central to Laura Esquivel’s novel "Like Water for Chocolate," associated with the domineering matriarch Mama Elena and her daughters.
-
E.
San Quintín
San Quintín is a coastal town in Baja California, Mexico, known for its agricultural production, volcanic landscapes, and growing tourism along the Pacific coast.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f38c28e08190956766a5222fe720 |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827b54a4881909f800bf37990a297 |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c828ca24bc81909357b9f40a9004af |
completed | March 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8297c1de4819099acfac611a519e5 |
completed | March 28, 2026, 7:18 p.m. |
Created at: March 27, 2026, 3:14 p.m.