Triple
T19839193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | da Costa |
E476676
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Bruno da Costa |
unclear NED1
|
NE FINISHED |
How this triple was built (2 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: Bruno da Costa | Statement: [da Costa, hasNotableBearer, Bruno da Costa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruno da Costa Context triple: [da Costa, hasNotableBearer, Bruno da Costa]
-
A.
Bruno Costa
Bruno Costa is a businessman best known as the co-founder of the British coffeehouse chain Costa Coffee.
-
B.
Bruno Costa
Bruno Costa is an individual known primarily as a relative of Sergio Costa.
-
C.
Paulo da Costa
Paulo da Costa is a Portuguese-born Canadian writer and translator known for his fiction, poetry, and work bridging Lusophone and Canadian literary cultures.
-
D.
Bruno Campos
Bruno Campos is a Brazilian-American actor best known for his television roles in series like "Jesse" and "Nip/Tuck" and for his work as a voice performer in animated films.
-
E.
André da Costa
André da Costa is a relatively obscure individual whose name is notably associated with the surname "da Costa," but who lacks widely documented public recognition or distinguishing achievements.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (3 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65804be608190b49e110c3bf381bc |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0815ec119c819098c74ab293a50d8d |
completed | May 16, 2026, 6:59 a.m. |
Created at: April 10, 2026, 1:50 p.m.