Triple
T1557263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lupe Vélez |
E33234
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lupe Vélez |
E33234
|
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: Lupe Vélez | Statement: [Lupe Vélez, name, Lupe Vélez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lupe Vélez Context triple: [Lupe Vélez, name, Lupe Vélez]
-
A.
Lupe Vélez
chosen
Lupe Vélez was a Mexican-born Hollywood actress and comedian of the 1920s and 1930s, known for her vibrant screen presence and roles in both silent films and early talkies.
-
B.
Isabelle Ferrer
Isabelle Ferrer is a French woman best known for being the former wife of legendary footballer and actor Eric Cantona.
-
C.
Bertha Navarro
Bertha Navarro is a Mexican film producer best known for her long-time collaboration with director Guillermo del Toro on acclaimed genre and art-house films.
-
D.
Haydée Santamaría
Haydée Santamaría was a Cuban revolutionary and cultural figure, a founding member of the 26th of July Movement and longtime director of the Casa de las Américas.
-
E.
Rita Moreno
Rita Moreno is a trailblazing Puerto Rican–American actress, singer, and dancer renowned for her groundbreaking, award-winning career across film, television, and theater.
- 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.