Triple
T3659851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Who comic strips |
E77621
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Countdown |
E240633
|
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: Countdown | Statement: [Doctor Who comic strips, publisher, Countdown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Countdown Context triple: [Doctor Who comic strips, publisher, Countdown]
-
A.
Countdown
chosen
"Countdown" is a long-running British television game show that combines word and number puzzles in a timed, competitive format.
-
B.
Time After Time
"Time After Time" is a popular 1947 American standard song composed by Jule Styne with lyrics by Sammy Cahn, widely recorded by jazz and pop vocalists.
-
C.
Every Time
"Every Time" is a song by Janet Jackson featured on her acclaimed 1997 album *The Velvet Rope*.
-
D.
Count Me Out
"Count Me Out" is an R&B single by the American boy band New Edition, released in 1985 and known for showcasing the group's smooth harmonies and youthful heartbreak themes.
-
E.
Number One
"Number One" is a song by John Legend from his debut studio album "Get Lifted."
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d5e5f881909c7c105827d41071 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48842b28881908c6a077cfaa8b092 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:25 p.m.