Triple
T11157835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominik García-Lorido |
E263956
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dominik García-Lorido |
E263956
|
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: Dominik García-Lorido | Statement: [Dominik García-Lorido, name, Dominik García-Lorido]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dominik García-Lorido Context triple: [Dominik García-Lorido, name, Dominik García-Lorido]
-
A.
Dominik García-Lorido
chosen
Dominik García-Lorido is an American actress known for roles in films such as "City Island" and "The Lost City," and is the daughter of actor Andy García.
-
B.
Jon Huertas
Jon Huertas is an American actor best known for his role as NYPD Detective Javier Esposito on the television series "Castle."
-
C.
Daniel Espinosa
Daniel Espinosa is a Swedish film director known for action and thriller films such as "Safe House" and "Life."
-
D.
Daniel Zaragoza
Daniel Zaragoza is a former Mexican professional boxer and long-reigning WBC super bantamweight champion known for his awkward southpaw style and multiple world title reigns.
-
E.
Jaime Garza
Jaime Garza is a Mexican actor best known for his work in telenovelas and films during the late 20th century.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e87fe9a881909540ecc4ed9b6b9f |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e46352e0688190924f15bc7d7ede90 |
completed | April 19, 2026, 5:08 a.m. |
Created at: April 8, 2026, 9:28 p.m.