Triple
T15069884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sofía Henríquez Bachelet |
E379846
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Sofía
Sofía is a feminine given name of Greek origin, widely used in Spanish-speaking countries and meaning "wisdom."
|
E1135613
|
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: Sofía | Statement: [Sofía Henríquez Bachelet, givenName, Sofía]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sofía Context triple: [Sofía Henríquez Bachelet, givenName, Sofía]
-
A.
Sofía
Sofía is a central fictional character in Alejo Carpentier’s novel "El siglo de las luces," embodying the personal and ideological upheavals of the Caribbean during the era of the French Revolution.
-
B.
Sofía
Sofía is the given name of Colombian-American actress and model Sofía Vergara, best known for her role on the television series "Modern Family."
-
C.
Sofía
Sofía is the enigmatic and alluring woman at the center of the psychological and romantic tensions in the Spanish film "Open Your Eyes."
-
D.
Belén
Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
-
E.
Gracia
Gracia is a feminine given name, commonly used in Spanish and other Romance languages, that derives from and shares the meaning of the name Grace.
- 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: Sofía Triple: [Sofía Henríquez Bachelet, givenName, Sofía]
Generated description
Sofía is a feminine given name of Greek origin, widely used in Spanish-speaking countries and meaning "wisdom."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sofía Target entity description: Sofía is a feminine given name of Greek origin, widely used in Spanish-speaking countries and meaning "wisdom."
-
A.
Sofía
Sofía is a central fictional character in Alejo Carpentier’s novel "El siglo de las luces," embodying the personal and ideological upheavals of the Caribbean during the era of the French Revolution.
-
B.
Sofía
Sofía is the given name of Colombian-American actress and model Sofía Vergara, best known for her role on the television series "Modern Family."
-
C.
Sofía
Sofía is the enigmatic and alluring woman at the center of the psychological and romantic tensions in the Spanish film "Open Your Eyes."
-
D.
Belén
Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
-
E.
Gracia
Gracia is a feminine given name, commonly used in Spanish and other Romance languages, that derives from and shares the meaning of the name Grace.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7f86df48190b3a2cf441fefb477 |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5cd4b6c8190aa9ff73d5be31864 |
completed | May 9, 2026, 3:11 a.m. |
| NEDg | Description generation | batch_69fea8e838b4819091e0a3d099c49059 |
completed | May 9, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea986e0dc8190a56e71288c6a7ef4 |
completed | May 9, 2026, 3:27 a.m. |
Created at: April 10, 2026, 3:02 a.m.