Triple
T7184771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mama Africa |
E167540
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Stop That Train |
E602543
|
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: Stop That Train | Statement: [Mama Africa, hasTrack, Stop That Train]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stop That Train Context triple: [Mama Africa, hasTrack, Stop That Train]
-
A.
Stop That Train
chosen
"Stop That Train" is a reggae song popularized by Bob Marley and the Wailers, known for its laid-back groove and themes of departure and escape.
-
B.
Stop This Train
"Stop This Train" is a reflective folk-pop song by John Mayer that explores themes of aging, change, and the passage of time.
-
C.
Stop the Train
"Stop the Train" is a song by American singer-songwriter Henry Wolfe, known for its mellow indie-pop style and introspective lyrics.
-
D.
This Train
"This Train" is a song by reggae artist International Herb, likely reflecting his roots-influenced style and themes.
-
E.
Runaway Trains
Runaway Trains is a song by British rock band Tom Petty and the Heartbreakers, known for its reflective lyrics and melodic rock sound.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8df6a6881909c3174f86c9a6b28 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b94b058481909da9d5b21a5201de |
completed | March 28, 2026, 11:19 a.m. |
Created at: March 27, 2026, 2:49 p.m.