Triple
T21811827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eulalia Ramón |
E538492
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | ¡Ay, Carmela! |
—
|
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: ¡Ay, Carmela! | Statement: [Eulalia Ramón, notableWork, ¡Ay, Carmela!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ¡Ay, Carmela! Context triple: [Eulalia Ramón, notableWork, ¡Ay, Carmela!]
-
A.
¡Ay, Carmela!
chosen
¡Ay, Carmela! is a Spanish tragicomic film set during the Spanish Civil War, following a troupe of traveling performers who become entangled with both Republican and Nationalist forces.
-
B.
Carmencita
Carmencita is a Spanish feminine given name, commonly used as an affectionate diminutive of Carmen.
-
C.
Ay, Cariño
"Ay, Cariño" is a song by the Spanish pop duo Cómplices, known for their melodic, romantic style.
-
D.
Adiós Nonino
Adiós Nonino is a renowned tango composition by Astor Piazzolla, celebrated for its deeply emotional, modernized take on traditional Argentine tango.
-
E.
Mamacita
"Mamacita" is a popular reggae/dancehall track by Bermudian artist Collie Buddz known for its catchy, laid-back Caribbean vibe.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc6cdf88190a31129acdc3bcec8 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:53 p.m.