Triple
T15558277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JoAnna Garcia |
E370927
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | JoAnna Garcia |
—
|
NE NERFINISHED |
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: JoAnna Garcia | Statement: [JoAnna Garcia, name, JoAnna Garcia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JoAnna Garcia Context triple: [JoAnna Garcia, name, JoAnna Garcia]
-
A.
JoAnna Garcia
chosen
JoAnna Garcia is an American actress known for her roles in television series such as "Reba," "Privileged," and "Sweet Magnolias."
-
B.
Nina Garcia
Nina Garcia is a Colombian-American fashion journalist, editor, and television personality best known as a longtime judge on the reality competition show "Project Runway."
-
C.
Mayte Garcia
Mayte Garcia is an American dancer, choreographer, and actress best known for her work with and marriage to the musician Prince.
-
D.
Daphne Zuniga
Daphne Zuniga is an American actress best known for her roles in the sci-fi parody film "Spaceballs" and the television series "Melrose Place."
-
E.
Gina Cuevas
Gina Cuevas is a fictional character appearing in the American medical drama television series "Nurses."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dda3ab88190ab383333ce69fe8f |
completed | April 16, 2026, 2:47 a.m. |
Created at: April 10, 2026, 4:09 a.m.