Triple
T14026996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorena Bernal |
E337485
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lorena Bernal |
E337485
|
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: Lorena Bernal | Statement: [Lorena Bernal, name, Lorena Bernal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorena Bernal Context triple: [Lorena Bernal, name, Lorena Bernal]
-
A.
Lorena Bernal
chosen
Lorena Bernal is an Argentine-born Spanish actress, model, and former Miss Spain who has also worked as a television presenter.
-
B.
Sofía García
Sofía García is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the García surname.
-
C.
Sofía García
Sofía García is one of the four Dominican-American sisters at the center of Julia Alvarez’s novel, whose rebellious and free-spirited nature often puts her at odds with her traditional family and their immigrant expectations.
-
D.
Claudia Ramírez
Claudia Ramírez is a Mexican actress known for her work in film and television, particularly in acclaimed Mexican cinema of the late 20th century.
-
E.
Yalitza Aparicio
Yalitza Aparicio is a Mexican actress and former preschool teacher who gained international acclaim and an Academy Award nomination for her debut performance in Alfonso Cuarón’s film "Roma."
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa830ac81908cb7df7c9e81e42a |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe967cea3c81909d9b600501897a41 |
completed | May 9, 2026, 2:05 a.m. |
Created at: April 9, 2026, 10:20 p.m.