Triple
T17800422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | María del Carmen |
E444407
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object |
Maica
Maica is a feminine given name, commonly used as a diminutive or affectionate form of María del Carmen in Spanish-speaking cultures.
|
E1287723
|
NE FINISHED |
How this triple was built (4 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: Maica | Statement: [María del Carmen, shortForm, Maica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maica Context triple: [María del Carmen, shortForm, Maica]
-
A.
Ariela
Ariela is a feminine given name, often considered a variant of Ariel, used in various cultures and languages.
-
B.
Mia Ausa
Mia Ausa is a young, kind-hearted magician and the daughter of the Magic Guild's leader in the role-playing game Lunar: The Silver Star.
-
C.
Mikaela
Mikaela is a feminine given name most prominently associated with American alpine ski champion Mikaela Shiffrin.
-
D.
Mira Calix
Mira Calix was an innovative South African-born, UK-based electronic composer and sound artist known for blending experimental electronics with classical instrumentation and multimedia installations.
-
E.
Romina
Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Maica Triple: [María del Carmen, shortForm, Maica]
Generated description
Maica is a feminine given name, commonly used as a diminutive or affectionate form of María del Carmen in Spanish-speaking cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maica Target entity description: Maica is a feminine given name, commonly used as a diminutive or affectionate form of María del Carmen in Spanish-speaking cultures.
-
A.
Ariela
Ariela is a feminine given name, often considered a variant of Ariel, used in various cultures and languages.
-
B.
Mia Ausa
Mia Ausa is a young, kind-hearted magician and the daughter of the Magic Guild's leader in the role-playing game Lunar: The Silver Star.
-
C.
Mikaela
Mikaela is a feminine given name most prominently associated with American alpine ski champion Mikaela Shiffrin.
-
D.
Mira Calix
Mira Calix was an innovative South African-born, UK-based electronic composer and sound artist known for blending experimental electronics with classical instrumentation and multimedia installations.
-
E.
Romina
Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
- F. None of above. chosen
Provenance (5 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487ff42108190b82ceb4466aa2dff |
completed | April 19, 2026, 7:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f84095f48190985b20bc8f049e5b |
completed | May 12, 2026, 9:52 a.m. |
| NEDg | Description generation | batch_6a02f9078e088190b2e84f219f7457ed |
completed | May 12, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f98c91a481909739f2a8a681286d |
completed | May 12, 2026, 9:57 a.m. |
Created at: April 10, 2026, 10:13 a.m.