Triple
T14896192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay C. Flippen |
E359881
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Wild North |
E1101267
|
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 Wild North | Statement: [Jay C. Flippen, notableWork, The Wild North]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Wild North Context triple: [Jay C. Flippen, notableWork, The Wild North]
-
A.
The Wild North
chosen
The Wild North is a 1952 American adventure film starring Stewart Granger as a trapper fleeing through the Canadian wilderness while pursued by a determined Mountie.
-
B.
The Frozen North
The Frozen North is a creative work by Joe Roberts, likely a narrative or artistic piece set in a harsh, icy environment.
-
C.
Hell of the North
Hell of the North is the famous nickname for Paris–Roubaix, one of cycling’s oldest and toughest one-day classics, renowned for its brutal cobblestone sectors and often harsh racing conditions.
-
D.
The Great North
The Great North is an animated sitcom that follows the eccentric Tobin family as they navigate life in the wilds of Alaska.
-
E.
True North
True North is the memoir by Australian-born writer and academic Jill Ker Conway that continues her life story as she builds an intellectual and professional career in North America.
- 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_69ded6070b248190be8f4f91a0c0b1f3 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b679fb081908cf8f41acfba3b99 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 2:10 a.m.