Triple
T11753983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Logic of Chance |
E279476
|
entity |
| Predicate | relatedConcept |
P37
|
FINISHED |
| Object | Venn diagram |
E279474
|
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: Venn diagram | Statement: [The Logic of Chance, relatedConcept, Venn diagram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venn diagram Context triple: [The Logic of Chance, relatedConcept, Venn diagram]
-
A.
Venn
chosen
Venn is an English surname most famously associated with logician John Venn, after whom Venn diagrams are named.
-
B.
Vé
Vé is a Norse god, one of Odin’s brothers, associated with the creation of the world in Norse mythology.
-
C.
Viner
Viner is a surname most notably associated with Jacob Viner, a prominent 20th-century economist known for his influential work in international trade theory and economic history.
-
D.
VHYes
VHYes is a surreal, retro-styled comedy film presented as a collage of late-night VHS recordings that blend sketch, satire, and narrative experimentation.
-
E.
VITA
VITA is an industry trade association that develops and promotes open standards for embedded computing systems, particularly those based on the VMEbus architecture.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50b8a14819092a7397d73f0a8e3 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1309f25a88190b0acaf7d9be6ae59 |
completed | April 28, 2026, 10:11 p.m. |
Created at: April 8, 2026, 9:41 p.m.