Triple
T20325942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francia Raisa |
E492337
|
entity |
| Predicate | hasTwitterUsername |
P2943
|
FINISHED |
| Object | franciaraisa |
—
|
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: franciaraisa | Statement: [Francia Raisa, hasTwitterUsername, franciaraisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: franciaraisa Context triple: [Francia Raisa, hasTwitterUsername, franciaraisa]
-
A.
franciaraisa
chosen
Francia Raisa is an American actress best known for her roles in "The Secret Life of the American Teenager" and "Grown-ish."
-
B.
Franzese
Franzese is an Italian surname borne by various notable individuals in fields such as entertainment and organized crime.
-
C.
Fransat
Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
-
D.
FR-EE
FR-EE is an international architecture and design firm known for its innovative, futuristic projects and urban-scale developments led by Mexican architect Fernando Romero.
-
E.
Fran
Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778f20288190b1862d6be61bfb67 |
completed | April 20, 2026, 6:59 p.m. |
Created at: April 16, 2026, 11:21 a.m.