Triple
T21004507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fire Town |
E517378
|
entity |
| Predicate | song |
P20452
|
FINISHED |
| Object | Train Song |
—
|
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 Song | Statement: [Fire Town, song, Train Song]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Train Song Context triple: [Fire Town, song, Train Song]
-
A.
Train Song
chosen
"Train Song" is a dark, atmospheric track by Tom Waits from his theatrical, concept-driven album "Frank's Wild Years."
-
B.
The Train
The Train is a 1964 World War II thriller film, directed by John Frankenheimer and co-written by Franklin Coen, about French Resistance fighters trying to stop Nazis from transporting stolen art out of France.
-
C.
The Train
"The Train" is a song featured on the soundtrack album for the film "Idlewild," associated with the hip hop duo OutKast.
-
D.
This Train
"This Train" is a traditional American gospel song popularized by Sister Rosetta Tharpe, celebrated for its driving rhythm and moralistic lyrics about a righteous journey to salvation.
-
E.
This Train
"This Train" is a song by reggae artist International Herb, likely reflecting his roots-influenced style and themes.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3b25ec8190aa4530d1f0bb2b9e |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:52 p.m.