Triple
T7020015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackheart Man |
E162795
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | This Train |
E604029
|
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: This Train | Statement: [Blackheart Man, hasTrack, This Train]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: This Train Context triple: [Blackheart Man, hasTrack, This Train]
-
A.
This Train
chosen
"This Train" is a song by reggae artist International Herb, likely reflecting his roots-influenced style and themes.
-
B.
Go By Train
"Go By Train" is the iconic neon-lit slogan displayed atop Portland Union Station that promotes rail travel and has become a recognizable symbol of the city.
-
C.
Downbound Train
"Downbound Train" is a somber, narrative-driven rock song by Bruce Springsteen that appears on his 1984 album *Born in the U.S.A.*
-
D.
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.
-
E.
Sleep Train
Sleep Train is a former American mattress retail chain known for its extensive network of bedding stores, particularly in the western United States.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1eab4d4819083230974c361cc74 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775707e30819088b311a1a87eee79 |
completed | March 28, 2026, 6:30 a.m. |
Created at: March 27, 2026, 2:34 p.m.