Triple
T19803235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thane Baker |
E475739
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Thane Baker |
—
|
NE NERFINISHED |
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: Thane Baker | Statement: [Thane Baker, name, Thane Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thane Baker Context triple: [Thane Baker, name, Thane Baker]
-
A.
Thane Baker
chosen
Thane Baker was an American sprinter and Olympic medalist known for his achievements in the 100 m and 200 m events during the 1950s.
-
B.
Eric Baker
Eric Baker was a British human rights activist best known as a co-founder of Amnesty International.
-
C.
Burke Baker
Burke Baker was a benefactor whose contributions to science education led to a prominent planetarium in Houston being named in his honor.
-
D.
Arvin Brown
Arvin Brown is an American theatre and television director best known for his long tenure leading and shaping the artistic vision of New Haven’s Long Wharf Theatre.
-
E.
Guy Weadick
Guy Weadick was an American-born cowboy, promoter, and showman best known for creating the Calgary Stampede and helping popularize rodeo culture in Canada.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654266e18819085698aed8b0e2ba8 |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:49 p.m.