Triple
T23250978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TV total |
E581728
|
entity |
| Predicate | originalTitle |
P65
|
FINISHED |
| Object | TV total |
—
|
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 | Statement: [TV total, originalTitle, TV total]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TV total Context triple: [TV total, originalTitle, TV total]
-
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.
TV
TV is Apple’s media playback and streaming application for watching movies, TV shows, and other video content across Apple devices.
-
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.
TV Media
TV Media is a division of Paramount Global focused on managing and distributing the company’s television-related content and networks.
-
E.
T.V.
T.V. is one of the hybrid rainbow-unicorn and dog children of Lady Rainicorn and Jake in the animated series "Adventure Time."
- 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.