Triple
T14585976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diane Guerrero |
E342316
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Diane Guerrero |
E342316
|
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: Diane Guerrero | Statement: [Diane Guerrero, name, Diane Guerrero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diane Guerrero Context triple: [Diane Guerrero, name, Diane Guerrero]
-
A.
Diane Guerrero
chosen
Diane Guerrero is an American actress and author best known for her roles in the television series "Orange Is the New Black" and "Jane the Virgin," as well as her voice work in animated films.
-
B.
Úrsula Corberó
Úrsula Corberó is a Spanish actress best known internationally for her role as Tokyo in the hit television series "Money Heist."
-
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.
Xochitl Gomez
Xochitl Gomez is an American actress best known for playing the multiverse-traveling teen hero America Chavez in the Marvel Cinematic Universe.
-
E.
Zabryna Guevara
Zabryna Guevara is an American actress known for her roles in television series such as "Gotham" and "Emergence," as well as her work in film and theater.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb421bb308190a457425429ef6aa5 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94bef27481908c108110dbf21780 |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:24 a.m.