Triple
T15469893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coffee Town |
E372130
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Gino |
E286028
|
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: Gino | Statement: [Coffee Town, mainCharacter, Gino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gino Context triple: [Coffee Town, mainCharacter, Gino]
-
A.
Gino
chosen
Gino is a masculine given name of Italian origin commonly used in Italy and among Italian communities worldwide.
-
B.
Gino Giant
Gino Giant is a signature hamburger offered by the Gino's Hamburgers fast-food chain.
-
C.
Aldo
Aldo is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
-
D.
Vinadio
Vinadio is a historic alpine municipality in Italy’s Piedmont region, known for its mountain fortifications and thermal baths.
-
E.
Rocco
Rocco is a Brazilian publishing house known for releasing major international bestsellers, including works like Paulo Coelho’s "The Alchemist."
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6b49788190b270fdfe92646842 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d0543f881909dfbbc77f2a96a1a |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:33 a.m.