Triple
T16329375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ines |
E396507
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Inês (Portuguese variant) |
E396508
|
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: Inês (Portuguese variant) | Statement: [Ines, relatedName, Inês (Portuguese variant)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inês (Portuguese variant) Context triple: [Ines, relatedName, Inês (Portuguese variant)]
-
A.
Inês
chosen
Inês is a Portuguese given name, equivalent to Agnes, commonly used for women in Portuguese-speaking countries.
-
B.
Inés
Inés is a feminine given name, especially common in Spanish-speaking countries, derived from the name Agnes.
-
C.
Cecília (Portuguese)
Cecília is the Portuguese feminine given name equivalent to Cecilia, traditionally associated with Saint Cecilia and used in Portuguese-speaking countries.
-
D.
Ines
Ines is a feminine given name, commonly used in various European and Latin American countries, that is a variant of the name Agnes.
-
E.
Mari Brás
Mari Brás was a prominent Puerto Rican lawyer, socialist leader, and advocate for Puerto Rican independence.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4ddc5608190b24fe2e871691470 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261134108190812da262b424a476 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.