Triple
T9641666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilda Gadea |
E233085
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gadea
Gadea is a Spanish-language surname most notably associated with Hilda Gadea, a Peruvian economist and first wife of revolutionary Che Guevara.
|
E814322
|
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: Gadea | Statement: [Hilda Gadea, familyName, Gadea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gadea Context triple: [Hilda Gadea, familyName, Gadea]
-
A.
Osuna
Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
-
B.
Alcanena
Alcanena is a Portuguese municipality known for its traditional leather and tanning industry, located in the Centro Region of Portugal.
-
C.
Cardeñosa
Cardeñosa is a small municipality in the province of Ávila, in the autonomous community of Castile and León, Spain.
-
D.
Churriana
Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
-
E.
Caseres
Caseres is a small rural municipality located in the Terra Alta comarca of Catalonia, Spain, known for its agricultural landscape and traditional village character.
- 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: Gadea Triple: [Hilda Gadea, familyName, Gadea]
Generated description
Gadea is a Spanish-language surname most notably associated with Hilda Gadea, a Peruvian economist and first wife of revolutionary Che Guevara.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gadea Target entity description: Gadea is a Spanish-language surname most notably associated with Hilda Gadea, a Peruvian economist and first wife of revolutionary Che Guevara.
-
A.
Osuna
Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
-
B.
Alcanena
Alcanena is a Portuguese municipality known for its traditional leather and tanning industry, located in the Centro Region of Portugal.
-
C.
Cardeñosa
Cardeñosa is a small municipality in the province of Ávila, in the autonomous community of Castile and León, Spain.
-
D.
Churriana
Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
-
E.
Caseres
Caseres is a small rural municipality located in the Terra Alta comarca of Catalonia, Spain, known for its agricultural landscape and traditional village character.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b566a2881909ab3f9502b1c3c8d |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190eaac248190a19be2ceb333372f |
completed | April 4, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69d1916be2d48190b8f7be1c2bba931a |
completed | April 4, 2026, 10:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d191eafbb08190a456ffec158c5a14 |
completed | April 4, 2026, 10:34 p.m. |
Created at: March 30, 2026, 8:12 p.m.