Triple
T10527472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lopez vs Lopez |
E248343
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Mayan Lopez |
E248341
|
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: Mayan Lopez | Statement: [Lopez vs Lopez, starring, Mayan Lopez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayan Lopez Context triple: [Lopez vs Lopez, starring, Mayan Lopez]
-
A.
Mayan Lopez
chosen
Mayan Lopez is an American actress and producer, best known for starring alongside her father in the NBC comedy series "Lopez vs Lopez."
-
B.
Vanessa Diaz
Vanessa Diaz is a fictional character from the television series "Six Feet Under," known as the strong-willed and resilient wife of Federico Diaz.
-
C.
Melissa Barrera
Melissa Barrera is a Mexican actress and singer best known internationally for her leading roles in the horror franchise Scream and the musical film In the Heights.
-
D.
Aurora Bernárdez
Aurora Bernárdez was an Argentine literary translator and critic best known for her long partnership and collaboration with writer Julio Cortázar.
-
E.
Dascha Polanco
Dascha Polanco is a Dominican-American actress best known for her role as Dayanara Diaz on the Netflix series "Orange Is the New Black."
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f5ec348190875c8c877e70ba4a |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a05ffdc8190a69b39c807a06042 |
completed | April 10, 2026, 10:30 p.m. |
Created at: April 6, 2026, 12:29 p.m.