Triple
T20325941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francia Raisa |
E492337
|
entity |
| Predicate | hasInstagramUsername |
P3718
|
FINISHED |
| Object |
franciaraisa
Francia Raisa is an American actress best known for her roles in "The Secret Life of the American Teenager" and "Grown-ish."
|
E1423485
|
NE FINISHED |
How this triple was built (4 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, hasInstagramUsername, franciaraisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: franciaraisa Context triple: [Francia Raisa, hasInstagramUsername, franciaraisa]
-
A.
Franzese
Franzese is an Italian surname borne by various notable individuals in fields such as entertainment and organized crime.
-
B.
Fransat
Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
-
C.
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.
-
D.
Fran
Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
-
E.
The French
The French is a renowned fine-dining restaurant in Manchester’s Midland Hotel, known for its modern British cuisine and historic, elegant setting.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: franciaraisa Triple: [Francia Raisa, hasInstagramUsername, franciaraisa]
Generated description
Francia Raisa is an American actress best known for her roles in "The Secret Life of the American Teenager" and "Grown-ish."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: franciaraisa Target entity description: Francia Raisa is an American actress best known for her roles in "The Secret Life of the American Teenager" and "Grown-ish."
-
A.
Franzese
Franzese is an Italian surname borne by various notable individuals in fields such as entertainment and organized crime.
-
B.
Fransat
Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
-
C.
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.
-
D.
Fran
Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
-
E.
The French
The French is a renowned fine-dining restaurant in Manchester’s Midland Hotel, known for its modern British cuisine and historic, elegant setting.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08612cc2c0819092d074fda6f0d995 |
completed | May 16, 2026, 12:21 p.m. |
| NEDg | Description generation | batch_6a086264e3408190847a995f3538c70b |
completed | May 16, 2026, 12:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0863b6dd84819089344a5ff28bf0cf |
completed | May 16, 2026, 12:31 p.m. |
Created at: April 16, 2026, 11:21 a.m.