Triple
T10722546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tin Star |
E252857
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | John W. Cunningham |
E310575
|
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: John W. Cunningham | Statement: [The Tin Star, author, John W. Cunningham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John W. Cunningham Context triple: [The Tin Star, author, John W. Cunningham]
-
A.
John W. Cunningham
chosen
John W. Cunningham was an American Western author best known for writing the short story that inspired the classic film "High Noon."
-
B.
John Cunningham
John Cunningham is a common personal name shared by numerous notable individuals across fields such as politics, sports, the arts, and academia.
-
C.
Jack L. Murray
Jack L. Murray is a film producer best known for his work on the 2009 horror remake "My Bloody Valentine 3D."
-
D.
Thomas S. Gleason
Thomas S. Gleason is an American politician who served as a member of the Massachusetts House of Representatives.
-
E.
John L. Burns
John L. Burns was a veteran of the War of 1812 who became famous as the elderly civilian sharpshooter who fought alongside Union troops during the Battle of Gettysburg in the American Civil War.
- 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_69d70d44d0048190a78aae2357e864a5 |
completed | April 9, 2026, 2:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb08d63d481908ab1d5038424dab6 |
completed | April 14, 2026, 9:24 p.m. |
Created at: April 8, 2026, 9:13 p.m.