Triple
T20154370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free Cinema documentary movement |
E491514
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Nice Time |
—
|
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: Nice Time | Statement: [Free Cinema documentary movement, notableWork, Nice Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nice Time Context triple: [Free Cinema documentary movement, notableWork, Nice Time]
-
A.
Nice Time
chosen
Nice Time is a 1957 British short documentary film associated with the Free Cinema movement, depicting the nightlife and crowds in London’s Piccadilly Circus.
-
B.
What a Time
"What a Time" is a melancholic pop song by Julia Michaels, featuring Niall Horan, that reflects on the bittersweet memories of a past relationship.
-
C.
A Good Time
A Good Time is a 2019 Afrobeats studio album by Nigerian singer Davido, featuring hit singles and collaborations with several international artists.
-
D.
Happy Time
"Happy Time" is an album by Canadian pianist and composer Frank Mills, known for its light, melodic instrumental pop style.
-
E.
Happy Time
Happy Time is a Filipino television program that aired on the Net 25 network, offering light entertainment and variety segments for a general audience.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667de9bec8190836887c86dbcf28d |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.