Triple
T22258363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ice Road |
E550149
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jonathan Hensleigh |
—
|
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: Jonathan Hensleigh | Statement: [The Ice Road, producer, Jonathan Hensleigh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Hensleigh Context triple: [The Ice Road, producer, Jonathan Hensleigh]
-
A.
Jonathan Hensleigh
chosen
Jonathan Hensleigh is an American screenwriter and film director known for his work on action films such as "Die Hard with a Vengeance" and "The Punisher."
-
B.
Charles Layton
Charles Layton is a television producer best known for his executive production work on the HBO miniseries "Sharp Objects."
-
C.
Alex Hawkins
Alex Hawkins was an American football player and broadcaster who served as a television announcer for the 1974 World Bowl.
-
D.
Charles Hudson
Charles Hudson was a 19th-century British mountaineer and Anglican clergyman known for his pioneering ascents in the Alps.
-
E.
Jonathan Meredith
Jonathan Meredith is the son of acclaimed American actor and director Burgess Meredith.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c4bff48190b4be83f5f7677ac8 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.