Triple
T21906067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmen (1983 film) |
E540940
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Laura del Sol |
—
|
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: Laura del Sol | Statement: [Carmen (1983 film), starring, Laura del Sol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura del Sol Context triple: [Carmen (1983 film), starring, Laura del Sol]
-
A.
Laura del Sol
chosen
Laura del Sol is a Spanish actress best known internationally for her roles in films such as "The Hit" and Carlos Saura’s flamenco dramas.
-
B.
Carmen Luna
Carmen Luna is a fiercely ambitious and witty Latina maid and aspiring singer who navigates love, class, and career struggles in the TV series "Devious Maids."
-
C.
Doña Sol
Doña Sol is a seductive and aristocratic woman who becomes the torero’s dangerous love interest in the 1922 silent film "Blood and Sand."
-
D.
Marisol
Marisol is an award-winning play by José Rivera that blends magical realism and apocalyptic themes to explore social injustice and urban decay.
-
E.
Susana
Susana is a feminine given name used in various cultures, often considered a variant of Susanna and associated with meanings related to "lily."
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d62a648190af7074251dc6a03a |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:36 p.m.