Triple
T20519943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Calling |
E503781
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Train in Vain |
—
|
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: Train in Vain | Statement: [London Calling, hasPart, Train in Vain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Train in Vain Context triple: [London Calling, hasPart, Train in Vain]
-
A.
Train in Vain
chosen
"Train in Vain" is a popular song by the English punk rock band The Clash, known for its catchy melody and blend of punk and pop influences.
-
B.
Stop That Train
"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.
-
C.
Last Train
"Last Train" is a British television drama series, also known as "Cruel Earth," about a group of train passengers who awaken from suspended animation to find a post-apocalyptic future.
-
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.
The D Train
The D Train is a 2015 American comedy film starring Jack Black and James Marsden about a man obsessively trying to reunite his high school classmates for a reunion.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f44b6ac8190a4f2f5244821c433 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.