Triple
T16203896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosa Salazar |
E393271
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Salazar
Salazar is a Spanish-origin surname borne by various notable figures in politics, arts, sports, and fiction.
|
E1198802
|
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: Salazar | Statement: [Rosa Salazar, familyName, Salazar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salazar Context triple: [Rosa Salazar, familyName, Salazar]
-
A.
Menéndez
Menéndez is a Spanish-origin surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
-
B.
Mazariegos
Mazariegos is a Spanish-origin surname borne by various notable individuals, including figures in Latin American history and culture.
-
C.
Garzón
Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
-
D.
Carlos Saladrigas Zayas
Carlos Saladrigas Zayas was a Cuban lawyer, diplomat, and politician who served in several high-level government roles during the early 20th century.
-
E.
Zuniga
Zuniga is a military officer and Don José’s superior in Bizet’s opera "Carmen," serving as a rival and source of conflict in the story.
- 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: Salazar Triple: [Rosa Salazar, familyName, Salazar]
Generated description
Salazar is a Spanish-origin surname borne by various notable figures in politics, arts, sports, and fiction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salazar Target entity description: Salazar is a Spanish-origin surname borne by various notable figures in politics, arts, sports, and fiction.
-
A.
Menéndez
Menéndez is a Spanish-origin surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
-
B.
Mazariegos
Mazariegos is a Spanish-origin surname borne by various notable individuals, including figures in Latin American history and culture.
-
C.
Garzón
Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
-
D.
Carlos Saladrigas Zayas
Carlos Saladrigas Zayas was a Cuban lawyer, diplomat, and politician who served in several high-level government roles during the early 20th century.
-
E.
Zuniga
Zuniga is a military officer and Don José’s superior in Bizet’s opera "Carmen," serving as a rival and source of conflict in the story.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270ca18c8190a259992aed4ec072 |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff14b0988190bb4128b2e02aee32 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a00003d347481908285b2253fd20ac1 |
completed | May 10, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0000adc1b08190abbafcabb4ebc079 |
completed | May 10, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:03 a.m.