Triple
T1557289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lupe Vélez |
E33234
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Gaucho |
E4110
|
NE FINISHED |
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: The Gaucho | Statement: [Lupe Vélez, notableWork, The Gaucho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Gaucho Context triple: [Lupe Vélez, notableWork, The Gaucho]
-
A.
The Gaucho
chosen
The Gaucho is a 1927 silent adventure film starring Douglas Fairbanks as a dashing South American cowboy hero in a tale of romance, action, and redemption.
-
B.
Carmen de Patagones
Carmen de Patagones is a historic town in southern Argentina, known as the oldest settlement in Patagonia and situated on the banks of the Río Negro opposite the city of Viedma.
-
C.
Fuego del Ande
Fuego del Ande is a musical work by Peruvian soprano Yma Sumac that showcases her extraordinary vocal range and Andean-influenced style.
-
D.
Melena del Sur
Melena del Sur is a coastal municipality in western Cuba known for its agricultural activities and proximity to Havana.
-
E.
Ole the Gaucho
Ole the Gaucho is the costumed cowboy-style mascot who represents the athletic teams and school spirit of the University of California, Santa Barbara.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908704d208190937af41c6454df4e |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3710688c8190a280f03bced5601f |
completed | March 8, 2026, 8:45 a.m. |
Created at: March 4, 2026, 7:27 p.m.