Triple
T8738073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Coburn |
E207434
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Coburn |
E129566
|
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: Coburn | Statement: [James Coburn, familyName, Coburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coburn Context triple: [James Coburn, familyName, Coburn]
-
A.
Coburn
chosen
Coburn is a surname and given name that serves as an alternative spelling of Cockburn, borne by various notable individuals in politics, entertainment, and other fields.
-
B.
Crapo
Crapo is the middle name of William C. Durant, the American industrialist who co-founded General Motors and Chevrolet.
-
C.
Arlen
Arlen is a given name most notably borne by Arlen Specter, a long-serving United States Senator from Pennsylvania.
-
D.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
E.
Arlen Bitterbuck
Arlen Bitterbuck is a fictional Native American death row inmate from Stephen King’s novel "The Green Mile," known for being one of the first prisoners executed in the story.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d470c8c81909ead395ef704c6ba |
completed | March 31, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42c9140081909f9c10560757c860 |
completed | April 3, 2026, 4:32 a.m. |
Created at: March 30, 2026, 6:38 p.m.