Triple
T18048417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romance |
E431861
|
entity |
| Predicate | hasSequel |
P1961
|
FINISHED |
| Object | Mis Romances |
—
|
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: Mis Romances | Statement: [Romance, hasSequel, Mis Romances]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mis Romances Context triple: [Romance, hasSequel, Mis Romances]
-
A.
Mis Romances
chosen
Mis Romances is a studio album by Mexican singer Luis Miguel that continues his series of romantic bolero recordings.
-
B.
My Romance
"My Romance" is a popular American show tune composed by Richard Rodgers with lyrics by Lorenz Hart, widely regarded as a jazz and pop standard.
-
C.
Enamorada
Enamorada is a classic 1946 Mexican romantic drama film directed by Emilio Fernández, celebrated for its expressive cinematography and performances by María Félix and Pedro Armendáriz.
-
D.
Te amaré
"Te amaré" is a popular romantic ballad by Spanish singer Miguel Bosé, known for its emotive lyrics and enduring presence in Latin pop music.
-
E.
Amores
Amores is a bus rapid transit station on Line 2 of the Metrobús system in Mexico City.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff39394819080407e1614bd5da9 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 10:25 a.m.