Triple
T20255523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanno |
E498685
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Vanno |
—
|
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: Vanno | Statement: [Vanno, hasName, Vanno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanno Context triple: [Vanno, hasName, Vanno]
-
A.
Vanno
chosen
Vanno is a fictional character appearing in the story or universe associated with "Red Dog."
-
B.
Vamos
"Vamos" is a high-energy, surf-punk-influenced track by the Pixies, known for its Spanish lyrics, noisy guitar work, and prominent place in the band’s early repertoire.
-
C.
Vosso
Vosso is a river in western Norway known for flowing through Voss municipality and contributing to the region’s scenic fjord landscape.
-
D.
Vado
Vado is a small unincorporated community in southern New Mexico, located in Doña Ana County within the broader Las Cruces region.
-
E.
Vado
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.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673ab60388190be32cc69bf2b6f76 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:41 p.m.