Triple
T16329436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inês |
E396508
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Inesinha |
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: Inesinha | Statement: [Inês, hasDiminutive, Inesinha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inesinha Context triple: [Inês, hasDiminutive, Inesinha]
-
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.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
D.
Pepita
Pepita is the nickname of Spanish soprano Pepita Embil, known for her performances in zarzuela and as the mother of renowned tenor Plácido Domingo.
-
E.
Pepita
Pepita is a shy, self-effacing orphan and ward of the Abbess in Thornton Wilder’s novel "The Bridge of San Luis Rey," whose inner strength and unspoken love make her one of the book’s most poignant figures.
- 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_6a00606d1b00819082f1a6084875d9de |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:07 a.m.