Triple
T5950057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trini Alvarado |
E132373
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Alvarado
Alvarado is a Spanish-origin surname borne by various notable individuals across fields such as acting, politics, and sports.
|
E532047
|
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: Alvarado | Statement: [Trini Alvarado, familyName, Alvarado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alvarado Context triple: [Trini Alvarado, familyName, Alvarado]
-
A.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
B.
Covarrubias
Covarrubias is a Spanish surname most notably associated with Renaissance architect and sculptor Alonso de Covarrubias, whose work significantly shaped the Plateresque style.
-
C.
De Leon
De Leon is a surname of Spanish origin commonly borne by individuals and places in Spanish-speaking and former Spanish-colonial regions.
-
D.
Cortez
Cortez is a Spanish-origin surname historically associated with figures in the Americas, including the Mexican-American folk hero Gregorio Cortez.
-
E.
Don Alvarado
Don Alvarado was a Mexican-American actor prominent in the silent and early sound film era, often cast as a romantic leading man in Hollywood productions of the 1920s and 1930s.
- 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: Alvarado Triple: [Trini Alvarado, familyName, Alvarado]
Generated description
Alvarado is a Spanish-origin surname borne by various notable individuals across fields such as acting, politics, and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alvarado Target entity description: Alvarado is a Spanish-origin surname borne by various notable individuals across fields such as acting, politics, and sports.
-
A.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
B.
Covarrubias
Covarrubias is a Spanish surname most notably associated with Renaissance architect and sculptor Alonso de Covarrubias, whose work significantly shaped the Plateresque style.
-
C.
De Leon
De Leon is a surname of Spanish origin commonly borne by individuals and places in Spanish-speaking and former Spanish-colonial regions.
-
D.
Cortez
Cortez is a Spanish-origin surname historically associated with figures in the Americas, including the Mexican-American folk hero Gregorio Cortez.
-
E.
Don Alvarado
chosen
Don Alvarado was a Mexican-American actor prominent in the silent and early sound film era, often cast as a romantic leading man in Hollywood productions of the 1920s and 1930s.
- F. None of above.
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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0397fd19081908ab31b190deb8247 |
completed | March 22, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3cb29f8819095d44ae3ad193fb2 |
completed | March 23, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69c0fab383f88190b18c55bf3704f3a4 |
completed | March 23, 2026, 8:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0fdefa0d8819087adf1d41d9d9fe2 |
completed | March 23, 2026, 8:46 a.m. |
Created at: March 22, 2026, 4:02 p.m.