Triple
T14888672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan Kerner |
E359695
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Cutting Edge |
E215586
|
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 Cutting Edge | Statement: [Jordan Kerner, notableWork, The Cutting Edge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Cutting Edge Context triple: [Jordan Kerner, notableWork, The Cutting Edge]
-
A.
The Cutting Edge
chosen
The Cutting Edge is a 1992 romantic comedy film about a figure skater and a former hockey player who become unlikely pairs partners on the ice.
-
B.
The Cutting
The Cutting is a tight, steeply uphill left-hand corner on Australia’s Mount Panorama Circuit, known for its narrow confines and challenging elevation change.
-
C.
Sharp Edge
Sharp Edge is a famous and exposed arête-style scrambling ridge on the mountain Blencathra in England’s Lake District, popular with experienced hikers and climbers.
-
D.
The Very Edge
The Very Edge is a 1963 British thriller film starring Anne Heywood as a woman terrorized by a psychopathic killer.
-
E.
Knife Edge
Knife Edge is a famously narrow and exposed alpine ridge on Maine’s Mount Katahdin, known for its dramatic drops and challenging hiking conditions.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f6cf5c8190b6b28f58fafe5d59 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b5f22c08190a9530cbd78cfc801 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 2:09 a.m.