Triple
T6787011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kokota language |
E155832
|
entity |
| Predicate | hasResearcher |
P28320
|
FINISHED |
| Object | Bill Palmer |
E546291
|
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: Bill Palmer | Statement: [Kokota language, hasResearcher, Bill Palmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Palmer Context triple: [Kokota language, hasResearcher, Bill Palmer]
-
A.
Bill Palmer
chosen
Bill Palmer is a linguist known for his documentation and analysis of the Kokota language.
-
B.
Gregg Palmer
Gregg Palmer was an American character actor known for his rugged roles in Westerns and mid-20th-century Hollywood films.
-
C.
Bill Rammell
Bill Rammell is a British Labour politician who served as a government minister in several defence and foreign affairs roles during the 2000s.
-
D.
Gary Palmer
Gary Palmer is an American Republican politician serving in the U.S. House of Representatives from Alabama.
-
E.
Lu Palmer
Lu Palmer was a prominent African American journalist, political activist, and radio commentator in Chicago known for his advocacy for civil rights and Black political empowerment.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2907d0081908291aad66048b8b1 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74253f9b4819099057c730237c269 |
completed | March 28, 2026, 2:52 a.m. |
Created at: March 27, 2026, 2:14 p.m.