Triple
T15973534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glu Mobile |
E387380
|
entity |
| Predicate | foundedAs |
P364
|
FINISHED |
| Object | Sorrent |
E1207083
|
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: Sorrent | Statement: [Glu Mobile, foundedAs, Sorrent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorrent Context triple: [Glu Mobile, foundedAs, Sorrent]
-
A.
Sorrent
chosen
Sorrent was a mobile game developer and publisher that later became known as Glu Mobile.
-
B.
Sorrento
Sorrento is a picturesque coastal town in southern Italy overlooking the Bay of Naples, renowned for its dramatic cliffs, lemon groves, and role as a historic retreat for writers and artists.
-
C.
Sorrento
Sorrento is a residential suburb on the Gold Coast in Queensland, Australia, known for its canal-front homes along the Nerang River.
-
D.
Calasetta
Calasetta is a coastal town on the Italian island of Sardinia known for its Ligurian cultural roots and use of the Tabarchino dialect.
-
E.
Sarno
Sarno is a town in Italy’s Campania region, located near Mount Vesuvius and known as an endpoint of the Circumvesuviana railway network.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572b667c8190b28d0556e45422bb |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002d982788819082fcdd8ab5c80513 |
completed | May 10, 2026, 7:02 a.m. |
Created at: April 10, 2026, 4:54 a.m.