Triple
T22838324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Schepisi |
E566006
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Empire Falls |
—
|
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: Empire Falls | Statement: [Fred Schepisi, notableWork, Empire Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Empire Falls Context triple: [Fred Schepisi, notableWork, Empire Falls]
-
A.
Empire Falls
chosen
Empire Falls is a Pulitzer Prize–winning novel by Richard Russo that was adapted into a 2005 HBO miniseries produced by Marc Platt.
-
B.
American Hollow
American Hollow is a 1999 documentary film by Rory Kennedy that intimately portrays the struggles and daily life of an impoverished Appalachian family in rural Kentucky.
-
C.
River Glass
River Glass is a small river on the Isle of Man that flows through the parish of Braddan toward Douglas.
-
D.
The Town
The Town is a 2010 crime thriller film directed by and starring Ben Affleck, centered on a crew of Boston bank robbers and the personal and moral conflicts that arise after one of them falls for a former hostage.
-
E.
The Town
"The Town" is a moody, atmospheric R&B track by The Weeknd that showcases his signature dark, introspective storytelling and vocal 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8244dc819089c0a7525fb512ab |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.