Triple
T20419356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Barcelona |
E500805
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Dee Barcelona
Dee Barcelona is known primarily as the wife of renowned jazz drummer Danny Barcelona, who played with Louis Armstrong's All-Stars.
|
E1429052
|
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: Dee Barcelona | Statement: [Danny Barcelona, spouse, Dee Barcelona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dee Barcelona Context triple: [Danny Barcelona, spouse, Dee Barcelona]
-
A.
Barceló
Barceló is a Spanish surname most notably associated with contemporary artist Miquel Barceló.
-
B.
Nou Barris
Nou Barris is a district in the northern part of Barcelona known for its largely residential character and diverse, working-class population.
-
C.
Begues
Begues is a small municipality in the Baix Llobregat comarca of Catalonia, Spain, known for its natural surroundings in the Garraf Massif.
-
D.
Costa de Barcelona
Costa de Barcelona is a coastal region in Catalonia, Spain, known for its Mediterranean beaches, cultural heritage, and proximity to the city of Barcelona.
-
E.
El Born
El Born is a historic and trendy neighborhood in Barcelona known for its medieval streets, vibrant nightlife, boutiques, and cultural landmarks like the Picasso Museum and Santa Maria del Mar.
- 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: Dee Barcelona Triple: [Danny Barcelona, spouse, Dee Barcelona]
Generated description
Dee Barcelona is known primarily as the wife of renowned jazz drummer Danny Barcelona, who played with Louis Armstrong's All-Stars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dee Barcelona Target entity description: Dee Barcelona is known primarily as the wife of renowned jazz drummer Danny Barcelona, who played with Louis Armstrong's All-Stars.
-
A.
Barceló
Barceló is a Spanish surname most notably associated with contemporary artist Miquel Barceló.
-
B.
Nou Barris
Nou Barris is a district in the northern part of Barcelona known for its largely residential character and diverse, working-class population.
-
C.
Begues
Begues is a small municipality in the Baix Llobregat comarca of Catalonia, Spain, known for its natural surroundings in the Garraf Massif.
-
D.
Costa de Barcelona
Costa de Barcelona is a coastal region in Catalonia, Spain, known for its Mediterranean beaches, cultural heritage, and proximity to the city of Barcelona.
-
E.
El Born
El Born is a historic and trendy neighborhood in Barcelona known for its medieval streets, vibrant nightlife, boutiques, and cultural landmarks like the Picasso Museum and Santa Maria del Mar.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a4686a48190a808c86aa916ad56 |
completed | April 20, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087b2a2c0c8190a47ee3b49c51de45 |
completed | May 16, 2026, 2:11 p.m. |
| NEDg | Description generation | batch_6a088017be588190ab94b8180e44ebf4 |
completed | May 16, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0880c45e1081908f439ade0c31a47e |
completed | May 16, 2026, 2:35 p.m. |
Created at: April 16, 2026, 11:30 a.m.