Triple
T20932537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten |
E515503
|
entity |
| Predicate | relatedWork |
P37
|
FINISHED |
| Object | 10 on Ten |
—
|
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: 10 on Ten | Statement: [Ten, relatedWork, 10 on Ten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 10 on Ten Context triple: [Ten, relatedWork, 10 on Ten]
-
A.
10 on Ten
chosen
10 on Ten is a 2004 documentary film by acclaimed Iranian director Abbas Kiarostami in which he reflects on the art and practice of filmmaking through ten lessons.
-
B.
10 Over 10
"10 Over 10" is a popular hip-hop track by Nigerian rapper Naeto C, celebrated for its catchy hook and club-friendly production.
-
C.
One in Ten
"One in Ten" is a politically charged reggae song by British band UB40 that highlights unemployment and social inequality in early 1980s Britain.
-
D.
Take Ten
Take Ten is a 1963 jazz album by alto saxophonist Paul Desmond that continues the cool, melodic style he pioneered on "Take Five."
-
E.
10 Play
10 Play is Network Ten’s free online streaming and catch-up TV platform offering on-demand access to its shows and live channels in Australia.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f94e980c819083280a9c35af5930 |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:49 p.m.