Triple
T13695661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Diplomats |
E328378
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Vado |
E703381
|
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: Vado | Statement: [The Diplomats, associatedAct, Vado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vado Context triple: [The Diplomats, associatedAct, Vado]
-
A.
Vado
chosen
Vado is an American rapper from Harlem, New York, known for his collaborations with Cam’ron and his work in the New York hip-hop scene.
-
B.
Carovigno
Carovigno is a historic town and popular tourist destination in Italy’s Apulia region, known for its medieval castle, olive groves, and proximity to the Adriatic coast.
-
C.
Velino
The Velino is a river in central Italy that flows through the province of Rieti before joining the Nera River near Terni.
-
D.
Vaccaro
Vaccaro is an Italian-origin surname borne by various notable individuals in fields such as acting, sports, and business.
-
E.
Veroli
Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8773f388190b2413b1e05fd5fd7 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794514afc8190b334b1fc74a6cdd5 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.