Triple
T23250962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TV total |
E581728
|
entity |
| Predicate | hasSpinOff |
P7226
|
FINISHED |
| Object | TV total Wok-WM |
—
|
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: TV total Wok-WM | Statement: [TV total, hasSpinOff, TV total Wok-WM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TV total Wok-WM Context triple: [TV total, hasSpinOff, TV total Wok-WM]
-
A.
TV total
chosen
TV total is a popular German late-night comedy and talk show hosted by Stefan Raab that aired on the ProSieben television network.
-
B.
We TV
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
-
C.
.tv
.tv is the country-code top-level domain originally assigned to Tuvalu that has become popular worldwide for websites related to television and video content.
-
D.
WTM
WTM is the vehicle registration code used on license plates for vehicles registered in the Wittmund district of Lower Saxony, Germany.
-
E.
TVH
TVH is an Indian real estate and infrastructure development company known for sponsoring chess legend Viswanathan Anand.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f5aa9081909775fb7f7dc660b3 |
completed | April 29, 2026, 5:15 a.m. |
Created at: April 17, 2026, 4:10 p.m.