Triple
T18916351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Francisco Javier de la Vega |
E462733
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | de la Vega |
—
|
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: de la Vega | Statement: [Don Francisco Javier de la Vega, hasFamilyName, de la Vega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de la Vega Context triple: [Don Francisco Javier de la Vega, hasFamilyName, de la Vega]
-
A.
de la Vega
chosen
De la Vega is a Spanish surname historically associated with notable figures in literature, nobility, and colonial administration.
-
B.
de Villanueva
de Villanueva is a Spanish surname notably borne by the influential 18th-century neoclassical architect Juan de Villanueva.
-
C.
Davila
Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
-
D.
Usnavi de la Vega
Usnavi de la Vega is the bodega owner and central narrator of Lin-Manuel Miranda’s musical "In the Heights," whose story anchors the show’s portrait of a tight-knit Latino community in Washington Heights.
-
E.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c627724881909cf63c67d64321e8 |
completed | April 20, 2026, 6:22 a.m. |
Created at: April 10, 2026, 11:58 a.m.