Triple
T21958361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Clarke |
E542254
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Road |
—
|
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: Road | Statement: [Alan Clarke, notableWork, Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Road Context triple: [Alan Clarke, notableWork, Road]
-
A.
Road
chosen
"Road" is a film featuring actor Ebon Moss-Bachrach in a significant role.
-
B.
Roadside
"Roadside" is a 1929 stage comedy by American playwright Lynn Riggs that humorously portrays life and romance in the rural American Southwest.
-
C.
Highway
"Highway" is a 2014 Indian Hindi-language road drama film directed by Imtiaz Ali, for which A. R. Rahman composed the acclaimed soundtrack.
-
D.
Highway
"Highway" is a 1999 documentary film by Kazakh director Sergey Dvortsevoy that follows a traveling family circus across the desolate steppes, capturing the harsh realities and quiet poetry of their nomadic life.
-
E.
Highway
Highway is a surname most notably borne by Tomson Highway, a celebrated Cree playwright, novelist, and musician from Canada.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1244204f081909742d4fe138610d6 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 8 p.m.