Triple
T12197765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Numberwang |
E290632
|
entity |
| Predicate | hasSegment |
P3574
|
FINISHED |
| Object | Numberwang bonus round |
E290632
|
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: Numberwang bonus round | Statement: [Numberwang, hasSegment, Numberwang bonus round]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Numberwang bonus round Context triple: [Numberwang, hasSegment, Numberwang bonus round]
-
A.
Numberwang
chosen
Numberwang is a surreal, fast-paced parody of television quiz shows from the British comedy duo Mitchell and Webb, known for its nonsensical rules and absurd humor.
-
B.
On Numbers
"On Numbers" is a lost philosophical treatise by the Neopythagorean thinker Numenius of Apamea, likely exploring the metaphysical and symbolic significance of numbers.
-
C.
HQ9
HQ9 is a television production studio facility associated with Dock10 in the UK.
-
D.
Numbers
Numbers is the fourth book of the Hebrew Bible and the Christian Old Testament, recounting the Israelites’ wilderness wanderings and organizing laws and censuses.
-
E.
Numbers
Numbers is Apple's spreadsheet application for macOS and iOS, used to create, analyze, and visualize data in tables and charts.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c56b4d88190b6a32baff3375dc4 |
completed | April 10, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e549e688190967c00f437a388db |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:50 p.m.