Triple
T21453076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard W. Koch |
E529266
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | The Last Mile |
—
|
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: The Last Mile | Statement: [Howard W. Koch, directed, The Last Mile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Last Mile Context triple: [Howard W. Koch, directed, The Last Mile]
-
A.
The Last Mile
The Last Mile is a crime thriller novel by David Baldacci featuring memory-gifted detective Amos Decker as he investigates a death row inmate’s shocking last-minute reprieve.
-
B.
The Last Mile
chosen
The Last Mile is a 1959 American prison drama film directed by Howard W. Koch, known for its intense depiction of death row inmates awaiting execution.
-
C.
Last Mile Home
"Last Mile Home" is a song by the American rock band Mechanical Bull.
-
D.
Middle Post Road
Middle Post Road is a historic segment of the old Boston Post Road route that once connected New York City and Boston.
-
E.
Many a Mile
"Many a Mile" is a folk song by American singer-songwriter Patrick Sky, known for its reflective lyrics and traditional acoustic style.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d50b88819081a771596d0a2b2b |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:07 p.m.