Triple
T17800424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | María del Carmen |
E444407
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object | Mary Carmen |
—
|
NE NERFINISHED |
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: Mary Carmen | Statement: [María del Carmen, shortForm, Mary Carmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Carmen Context triple: [María del Carmen, shortForm, Mary Carmen]
-
A.
Maria Elena
Maria Elena is a feminine given name of Spanish and Italian origin, commonly used in various Spanish-speaking and Latin cultures.
-
B.
Carmen Vasquez
Carmen Vasquez is a supporting character in the 2000 crime-action film "Shaft," involved in the investigation led by detective John Shaft.
-
C.
Maricarmen
chosen
Maricarmen is a Spanish feminine given name that is a contracted form of "María del Carmen," traditionally associated with devotion to Our Lady of Mount Carmel.
-
D.
Carmen Reyes
Carmen Reyes is a recurring character on the television series "Lost," known as Hugo "Hurley" Reyes's caring but often skeptical mother.
-
E.
Maria Vargas
Maria Vargas is the charismatic Spanish dancer-turned-film-star at the center of the 1954 drama "The Barefoot Contessa," whose rise to fame and tragic fate drive the film's narrative.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 10:13 a.m.