Triple
T21813502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damián |
E538535
|
entity |
| Predicate | isCognateWith |
P2527
|
FINISHED |
| Object | Damián (Portuguese: Damião) |
—
|
NE NERFINISHED |
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: Damián (Portuguese: Damião) | Statement: [Damián, isCognateWith, Damián (Portuguese: Damião)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damián (Portuguese: Damião) Context triple: [Damián, isCognateWith, Damián (Portuguese: Damião)]
-
A.
Damião
chosen
Damião is a Portuguese given name, equivalent to Damian, commonly used in Lusophone countries.
-
B.
David (Portuguese)
David (Portuguese) is the Portuguese-language form of the given name "David," commonly used in Portuguese-speaking countries.
-
C.
Joao Damas
Joao Damas is an Internet engineer and researcher known for his contributions to DNS and Internet standards development within the IETF.
-
D.
Alexandre (Portuguese)
Alexandre is the Portuguese form of the given name Alexander, commonly used in Portuguese-speaking countries.
-
E.
Firmino (Portuguese form)
Firmino is the Portuguese given name derived from the Latin-rooted name Firmin, commonly used in Lusophone countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc8e6808190bde4d0e0981e4117 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:54 p.m.