Triple
T13832147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What’s Up? |
E332424
|
entity |
| Predicate | bSide |
P15273
|
FINISHED |
| Object | Train |
E500565
|
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: Train | Statement: [What’s Up?, bSide, Train]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Train Context triple: [What’s Up?, bSide, Train]
-
A.
Train
chosen
Train is an American pop rock band best known for hits like "Drops of Jupiter (Tell Me)" and "Hey, Soul Sister."
-
B.
Steam Train
Steam Train is a YouTube gaming series and spin-off of Game Grumps in which Ross O’Donovan and co-hosts play and comment on video games.
-
C.
A train
The A train is a New York City Subway service that runs along the Eighth Avenue Line, connecting northern Manhattan and Queens with Brooklyn.
-
D.
1 train
The 1 train is a New York City Subway service that runs along the Broadway–Seventh Avenue Line, providing local service between the Bronx and lower Manhattan.
-
E.
XPT train
The XPT train is a long-distance, high-speed diesel passenger train used in New South Wales, Australia, based on the British InterCity 125 design.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0299334481908c2b271eaf06e4b7 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0eb7f44819087b1d24e4235a972 |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 10:13 p.m.