Triple
T5593177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kokota |
E146929
|
entity |
| Predicate | documentedBy |
P4310
|
FINISHED |
| Object |
Bill Palmer
Bill Palmer is a linguist known for his documentation and analysis of the Kokota language.
|
E546291
|
NE FINISHED |
How this triple was built (4 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, documentedBy, Bill Palmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Palmer Context triple: [Kokota, documentedBy, Bill Palmer]
-
A.
Gregg Palmer
Gregg Palmer was an American character actor known for his rugged roles in Westerns and mid-20th-century Hollywood films.
-
B.
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.
-
C.
Perry Hamer
Perry Hamer was the husband of prominent civil rights activist Fannie Lou Hamer and a supportive partner in her work for racial and social justice in Mississippi.
-
D.
Ray Merrimen
Ray Merrimen is a disciplined, battle-hardened ex-Marine and mastermind leader of a crew of professional bank robbers in the crime film "Den of Thieves."
-
E.
Ray Cusick
Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bill Palmer Triple: [Kokota, documentedBy, Bill Palmer]
Generated description
Bill Palmer is a linguist known for his documentation and analysis of the Kokota language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bill Palmer Target entity description: Bill Palmer is a linguist known for his documentation and analysis of the Kokota language.
-
A.
Gregg Palmer
Gregg Palmer was an American character actor known for his rugged roles in Westerns and mid-20th-century Hollywood films.
-
B.
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.
-
C.
Perry Hamer
Perry Hamer was the husband of prominent civil rights activist Fannie Lou Hamer and a supportive partner in her work for racial and social justice in Mississippi.
-
D.
Ray Merrimen
Ray Merrimen is a disciplined, battle-hardened ex-Marine and mastermind leader of a crew of professional bank robbers in the crime film "Den of Thieves."
-
E.
Ray Cusick
Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
- F. None of above. chosen
Provenance (5 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020bb08648190ab1f66cc3e897e6d |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097c85fa481909dc6dcfccce8efa8 |
completed | March 23, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69c09882e3188190a24199e5bcc7e76f |
completed | March 23, 2026, 1:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0991cdc9c81908ef92c3dbfe4276a |
completed | March 23, 2026, 1:36 a.m. |
Created at: March 22, 2026, 3:38 p.m.