Triple
T9330020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Coffee Time" sequence |
E224491
|
entity |
| Predicate | songPerformedInSequence |
P87551
|
FINISHED |
| Object | Coffee Time |
E791284
|
NE FINISHED |
How this triple was built (3 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: Coffee Time | Statement: ["Coffee Time" sequence, songPerformedInSequence, Coffee Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coffee Time Context triple: ["Coffee Time" sequence, songPerformedInSequence, Coffee Time]
-
A.
Coffee Time
chosen
Coffee Time is a song featured in the "Coffee Time" sequence, likely themed around the rituals or atmosphere of drinking coffee.
-
B.
Coffee House Shots
Coffee House Shots is a political podcast produced by The Spectator that offers rapid analysis and discussion of current UK politics and Westminster gossip.
-
C.
Coffee
Coffee is a popular brewed beverage made from roasted coffee beans, known for its stimulating caffeine content and rich, diverse flavors.
-
D.
Coffee
"Coffee" is a song by the American singer-songwriter Miguel, known for its smooth blend of R&B and sensual, atmospheric production.
-
E.
Caffe
Caffe is an open-source deep learning framework known for its speed and modular design, widely used in computer vision research and applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: songPerformedInSequence Context triple: ["Coffee Time" sequence, songPerformedInSequence, Coffee Time]
-
A.
performedSong
Indicates that an entity (such as an artist or performer) has given a performance of a particular song.
-
B.
performedSongFor
Indicates that one entity performed a song specifically for another entity as the intended audience or recipient.
-
C.
singsSongsPerformedBy
Indicates that one entity sings songs that are performed by another entity.
-
D.
performsSongCatalogOf
Indicates that an entity performs songs that are part of another entity’s song catalog.
-
E.
albumSequence
Indicates that one album directly follows another in a defined ordered sequence, such as a discography or series.
- F. None of above. chosen
Provenance (5 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37acbc04819092a67d7f392c74cd |
completed | April 1, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3c30ba88190b192621928136b87 |
completed | April 4, 2026, 10:11 a.m. |
| PD | Predicate disambiguation | batch_69cc7a643924819097f01144734901cf |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:39 p.m.