Triple
T10719625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marshal Will Kane |
E252782
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Amy Fowler Kane |
E257314
|
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: Amy Fowler Kane | Statement: [Marshal Will Kane, spouse, Amy Fowler Kane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amy Fowler Kane Context triple: [Marshal Will Kane, spouse, Amy Fowler Kane]
-
A.
Amy Fowler Kane
chosen
Amy Fowler Kane is the pacifist Quaker wife of Marshal Will Kane in the classic Western film "High Noon," whose moral conflict and ultimate decision play a pivotal role in the story's climax.
-
B.
Mary Dixon
Mary Dixon is a fictional character from the long-running British television police drama "Dixon of Dock Green."
-
C.
Evelyn Carnahan
Evelyn Carnahan is a brilliant and adventurous English Egyptologist and librarian who serves as a central heroine in the 1999 film "The Mummy" and its sequels.
-
D.
Amy Prentiss
Amy Prentiss is a 1970s American television crime drama series featuring Jessica Walter as a pioneering female chief of detectives in San Francisco.
-
E.
Nancy Grey
Nancy Grey is a fictional character from the film "Red Dog," contributing to the story’s emotional depth and relationships surrounding the legendary kelpie.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3722ec8190b2d78a5630bf6efc |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbd9df306881908aef5c6e8b4e78dc |
completed | April 12, 2026, 5:43 p.m. |
Created at: April 8, 2026, 9:13 p.m.