Triple
T21612279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Venn |
E533341
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Venn |
—
|
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: Venn | Statement: [John Venn, familyName, Venn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venn Context triple: [John Venn, familyName, Venn]
-
A.
Venn
chosen
Venn is an English surname most famously associated with logician John Venn, after whom Venn diagrams are named.
-
B.
Vennamo
Vennamo is a Finnish surname most notably associated with Veikko Vennamo, a prominent mid-20th-century populist politician and founder of the Finnish Rural Party.
-
C.
Vennachar
Vennachar is a small rural community located within the township of Addington Highlands in eastern Ontario, Canada.
-
D.
VAND
VAND is the ICAO airport code assigned to Shri Guru Gobind Singh Ji Airport in India.
-
E.
VASS
VASS is Vietnam’s leading national research institution dedicated to the study and development of the social sciences.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3ba79424819094e9ee93c4bbcc0b |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:33 p.m.