Triple
T16329374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ines |
E396507
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Inés (Spanish variant) |
E398718
|
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: Inés (Spanish variant) | Statement: [Ines, relatedName, Inés (Spanish variant)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inés (Spanish variant) Context triple: [Ines, relatedName, Inés (Spanish variant)]
-
A.
Inés
chosen
Inés is a feminine given name, especially common in Spanish-speaking countries, derived from the name Agnes.
-
B.
Ines
Ines is a feminine given name, commonly used in various European and Latin American countries, that is a variant of the name Agnes.
-
C.
María del Carmen
María del Carmen is a Spanish-language feminine given name commonly used in Hispanic cultures, often in honor of Our Lady of Mount Carmel.
-
D.
Marta (Spanish)
Marta is the Spanish given name equivalent to Martha, commonly used in Spanish-speaking countries.
-
E.
Inés García
Inés García was the wife of Mexican general and politician Antonio López de Santa Anna, associated with his personal and political life during 19th-century Mexico.
- 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.