Triple
T22356544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Forte |
E552666
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Forte |
—
|
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: Forte | Statement: [Will Forte, familyName, Forte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forte Context triple: [Will Forte, familyName, Forte]
-
A.
Forte
chosen
Forte is an Italian surname borne by various notable individuals in fields such as religion, arts, and sports.
-
B.
Forte Stella
Forte Stella is a historic coastal fortification on Elba Island in Tuscany, Italy, notable for its star-shaped design and role in the island’s maritime defense system.
-
C.
Forte Lorenese
Forte Lorenese is a historic coastal fortification in Forte dei Marmi, Italy, built in the 18th century to defend the town and its harbor and now serving as a prominent cultural landmark.
-
D.
Fuerte
"Fuerte" is a song featured on the album *Mi Plan* by Nelly Furtado.
-
E.
Forte Filippo
Forte Filippo is a coastal fortress overlooking Porto Ercole in Tuscany, Italy, built as part of the historic defensive system protecting the Argentario promontory.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d08b148190a9a4e445e8579219 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:44 p.m.