Triple
T18092966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rain Dogs |
E433016
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Downtown Train |
—
|
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: Downtown Train | Statement: [Rain Dogs, notableSong, Downtown Train]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downtown Train Context triple: [Rain Dogs, notableSong, Downtown Train]
-
A.
Downtown Train
chosen
"Downtown Train" is a popular rock ballad best known from Rod Stewart’s hit 1989 cover of Tom Waits’ original song.
-
B.
The Uptown Train
"The Uptown Train" is a track from the Japanese rock band X Japan’s 1993 album "Rain."
-
C.
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.
-
D.
The Train
"The Train" is a song featured on the soundtrack album for the film "Idlewild," associated with the hip hop duo OutKast.
-
E.
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.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1972a881908072990de0715547 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.