Triple
T16417172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inés |
E398718
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Inés (without accent in some contexts) |
E396507
|
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 (without accent in some contexts) | Statement: [Inés, relatedName, Inés (without accent in some contexts)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inés (without accent in some contexts) Context triple: [Inés, relatedName, Inés (without accent in some contexts)]
-
A.
Inés
Inés is a feminine given name, especially common in Spanish-speaking countries, derived from the name Agnes.
-
B.
Ines
chosen
Ines is a feminine given name, commonly used in various European and Latin American countries, that is a variant of the name Agnes.
-
C.
Inés Mendoza
Inés Mendoza was a Puerto Rican educator and political figure who served as First Lady of Puerto Rico and was known for her advocacy of Spanish-language education.
-
D.
Inés de Suárez
Inés de Suárez is a station on Line 6 of the Santiago Metro in Santiago, Chile.
-
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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328798a488190a5fad01c3c95584c |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c6ca1bc8190a6c4f675ec8e3a53 |
completed | May 10, 2026, 8:06 a.m. |
Created at: April 10, 2026, 5:09 a.m.