Triple
T6091669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | García |
E135778
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Elena García
Elena García is a common Spanish personal name shared by multiple notable individuals across fields such as science, arts, and public life.
|
E620707
|
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: Elena García | Statement: [García, hasNotableBearer, Elena García]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elena García Context triple: [García, hasNotableBearer, Elena García]
-
A.
Elena Ruiz
Elena Ruiz is a film editor best known for her work on the acclaimed Spanish horror film "The Orphanage."
-
B.
María García
María García is a widely occurring Spanish personal name shared by numerous women across Spanish-speaking countries, making it one of the most common Hispanic name combinations.
-
C.
Lucía García
Lucía García is a Spanish professional footballer known for playing as a forward for top clubs and the Spain women’s national team.
-
D.
Rosa García
Rosa García is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname García.
-
E.
Elena Alvarez
Elena Alvarez is a socially conscious, feminist teenage daughter in the Cuban-American family at the heart of the sitcom "One Day at a Time" (2017).
- 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: Elena García Triple: [García, hasNotableBearer, Elena García]
Generated description
Elena García is a common Spanish personal name shared by multiple notable individuals across fields such as science, arts, and public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elena García Target entity description: Elena García is a common Spanish personal name shared by multiple notable individuals across fields such as science, arts, and public life.
-
A.
Elena Ruiz
Elena Ruiz is a film editor best known for her work on the acclaimed Spanish horror film "The Orphanage."
-
B.
María García
María García is a widely occurring Spanish personal name shared by numerous women across Spanish-speaking countries, making it one of the most common Hispanic name combinations.
-
C.
Lucía García
Lucía García is a Spanish professional footballer known for playing as a forward for top clubs and the Spain women’s national team.
-
D.
Rosa García
Rosa García is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname García.
-
E.
Elena Alvarez
Elena Alvarez is a socially conscious, feminist teenage daughter in the Cuban-American family at the heart of the sitcom "One Day at a Time" (2017).
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057ab7324819086d4708e6f9391c0 |
completed | March 22, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a5979208190b3bedb6234181245 |
completed | March 28, 2026, 12:01 a.m. |
| NEDg | Description generation | batch_69c71c8f0e6081908a59f0c6ebbe5927 |
completed | March 28, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71f6346108190b13802a2cca38263 |
completed | March 28, 2026, 12:22 a.m. |
Created at: March 22, 2026, 4:12 p.m.