Triple
T5498118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El siglo de las luces |
E144259
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
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.
|
E531315
|
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: [El siglo de las luces, hasMainCharacter, Sofía]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sofía Context triple: [El siglo de las luces, hasMainCharacter, Sofía]
-
A.
Belén
Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
-
B.
Sofia
Sofia is a strong-willed, outspoken woman in Alice Walker’s "The Color Purple," known for her resilience and defiance against oppression.
-
C.
Sofia
Sofia is the capital and largest city of Bulgaria, known as a major cultural, economic, and historical center in the Balkans.
-
D.
Sofia
Sofia is a feminine given name of Greek origin, widely used in many cultures and commonly associated with the meaning "wisdom."
-
E.
Risca
Risca is a town in south Wales situated in the county borough of Caerphilly, near Newport, with a history rooted in coal mining and industry.
- 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: [El siglo de las luces, hasMainCharacter, Sofía]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sofía Target entity description: 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.
-
A.
Belén
Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
-
B.
Sofia
Sofia is a strong-willed, outspoken woman in Alice Walker’s "The Color Purple," known for her resilience and defiance against oppression.
-
C.
Sofia
Sofia is the capital and largest city of Bulgaria, known as a major cultural, economic, and historical center in the Balkans.
-
D.
Sofia
Sofia is a feminine given name of Greek origin, widely used in many cultures and commonly associated with the meaning "wisdom."
-
E.
Risca
Risca is a town in south Wales situated in the county borough of Caerphilly, near Newport, with a history rooted in coal mining and industry.
- 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_69c008f5a2748190bce7a39aabf87a6d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01b9050d08190b0cfcfdb5d414476 |
completed | March 22, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0279253c88190ae70e2f4f1fb3e7d |
completed | March 22, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69c033db6ebc8190ab35c707b846426d |
completed | March 22, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0345cd5b88190855efd8c1bb94693 |
completed | March 22, 2026, 6:26 p.m. |
Created at: March 22, 2026, 3:32 p.m.