Triple
T4347172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Destry (1954 film) |
E97932
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Edgar Buchanan |
E226053
|
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: Edgar Buchanan | Statement: [Destry (1954 film), starring, Edgar Buchanan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edgar Buchanan Context triple: [Destry (1954 film), starring, Edgar Buchanan]
-
A.
Edgar Buchanan
chosen
Edgar Buchanan was an American character actor best known for his roles in classic film westerns and the television series "Petticoat Junction."
-
B.
John Houstoun
John Houstoun was an American lawyer and politician who served as a governor of Georgia during the late 18th century.
-
C.
William A. Guthrie
William A. Guthrie was an American businessman best known for establishing the influential American Tobacco Company during the late 19th century.
-
D.
Edwin Davis
Edwin Davis is an author best known for writing the work that inspired the film "All of Me."
-
E.
William McSweeny
William McSweeny is an author best known for co-writing the autobiography "Go Up for Glory" with basketball legend Bill Russell.
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3518d6728819084a2f40ae0bd3ac8 |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dba958b88190b1b4efe4274cd060 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:15 p.m.