Triple
T12680547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabrielle |
E302931
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Yvette Monreal |
E330753
|
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: Yvette Monreal | Statement: [Gabrielle, portrayedBy, Yvette Monreal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yvette Monreal Context triple: [Gabrielle, portrayedBy, Yvette Monreal]
-
A.
Yvette Monreal
chosen
Yvette Monreal is an American actress best known for her roles in the action film "Rambo: Last Blood" and the superhero TV series "Stargirl."
-
B.
Nadine Velazquez
Nadine Velazquez is an American actress and model best known for her roles in the sitcom "My Name Is Earl" and the film "Flight."
-
C.
Marisa Ramirez
Marisa Ramirez is an American actress best known for her role as Detective Maria Baez on the television series "Blue Bloods."
-
D.
Melissa Navia
Melissa Navia is an American actress best known for her role as Lt. Erica Ortegas on the television series "Star Trek: Strange New Worlds."
-
E.
Lisa Benavides
Lisa Benavides is an American actress known for her work in independent films and as the wife of actor-director Tim Blake Nelson.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b32dbc81908101fc5f07e26ed3 |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5b9e0c4819095194dc42677e17f |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 5:21 p.m.