Triple
T15550371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justo Arosemena |
E370726
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Arosemena
Arosemena is a Spanish-language surname notably associated with Panamanian statesman and jurist Justo Arosemena.
|
E1163250
|
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: Arosemena | Statement: [Justo Arosemena, familyName, Arosemena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arosemena Context triple: [Justo Arosemena, familyName, Arosemena]
-
A.
Cayetana
Cayetana is the given name of Cayetana Fitz-James Stuart, the 18th Duchess of Alba, a prominent Spanish aristocrat known for holding a record number of noble titles.
-
B.
Mejía
Mejía is a Spanish-language surname of Hispanic origin borne by various notable figures across Latin American history and culture.
-
C.
Patria Onoguria
Patria Onoguria is the historical name for Old Great Bulgaria, the 7th-century Bulgar state founded by Khan Kubrat north of the Black Sea.
-
D.
Sabana Hoyos
Sabana Hoyos is a rural barrio of the municipality of Arecibo in Puerto Rico, known for its expansive land area and agricultural character.
-
E.
Mayarí
Mayarí is a municipality and town in eastern Cuba known for its rural landscapes, agricultural activity, and cultural significance within Holguín Province.
- 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: Arosemena Triple: [Justo Arosemena, familyName, Arosemena]
Generated description
Arosemena is a Spanish-language surname notably associated with Panamanian statesman and jurist Justo Arosemena.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arosemena Target entity description: Arosemena is a Spanish-language surname notably associated with Panamanian statesman and jurist Justo Arosemena.
-
A.
Cayetana
Cayetana is the given name of Cayetana Fitz-James Stuart, the 18th Duchess of Alba, a prominent Spanish aristocrat known for holding a record number of noble titles.
-
B.
Mejía
Mejía is a Spanish-language surname of Hispanic origin borne by various notable figures across Latin American history and culture.
-
C.
Patria Onoguria
Patria Onoguria is the historical name for Old Great Bulgaria, the 7th-century Bulgar state founded by Khan Kubrat north of the Black Sea.
-
D.
Sabana Hoyos
Sabana Hoyos is a rural barrio of the municipality of Arecibo in Puerto Rico, known for its expansive land area and agricultural character.
-
E.
Mayarí
Mayarí is a municipality and town in eastern Cuba known for its rural landscapes, agricultural activity, and cultural significance within Holguín Province.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a93121881909d88ca55a39252ac |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff455dfbcc8190a93e90c59b2d3045 |
completed | May 9, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69ff467e5d6c8190ba3bf6557e683233 |
completed | May 9, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff470912bc8190a42ee312aca55872 |
completed | May 9, 2026, 2:39 p.m. |
Created at: April 10, 2026, 4:08 a.m.