Triple
T13393812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franklin Coen |
E319645
|
entity |
| Predicate | coWrote |
P7732
|
FINISHED |
| Object | The Train |
E1039498
|
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: The Train | Statement: [Franklin Coen, coWrote, The Train]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Train Context triple: [Franklin Coen, coWrote, The Train]
-
A.
The Train
chosen
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.
-
B.
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.
-
C.
This Train
"This Train" is a song by reggae artist International Herb, likely reflecting his roots-influenced style and themes.
-
D.
The People's Train
The People's Train is a historical novel by Australian author Thomas Keneally that follows a Russian revolutionary exile in early 20th-century Australia.
-
E.
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.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d74e5881909828854bba7d9a87 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73981816881908aac3ab6b1921904 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:34 p.m.