Triple
T216839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juneau |
E4123
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Joe Juneau
Joe Juneau was a Canadian prospector and miner best known for co-founding and lending his name to Juneau, the capital city of Alaska.
|
E30607
|
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: Joe Juneau | Statement: [Juneau, namedAfter, Joe Juneau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Juneau Context triple: [Juneau, namedAfter, Joe Juneau]
-
A.
Ted Kulongoski
Ted Kulongoski is an American Democratic politician and attorney who served as the 36th governor of Oregon from 2003 to 2011.
-
B.
Hartland Snyder
Hartland Snyder was an American theoretical physicist known for his early work on black hole physics and for being one of J. Robert Oppenheimer’s notable doctoral students.
-
C.
Lou Leon Guerrero
Lou Leon Guerrero is an American politician and former nurse who became the first female governor of Guam.
-
D.
Tom Werner
Tom Werner is an American television producer and businessman best known as a co-owner and chairman of the Boston Red Sox and Liverpool FC.
-
E.
Governor of Alaska
The Governor of Alaska is the state's chief executive, responsible for overseeing the executive branch, implementing state laws, and guiding public policy for Alaska.
- 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: Joe Juneau Triple: [Juneau, namedAfter, Joe Juneau]
Generated description
Joe Juneau was a Canadian prospector and miner best known for co-founding and lending his name to Juneau, the capital city of Alaska.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Juneau Target entity description: Joe Juneau was a Canadian prospector and miner best known for co-founding and lending his name to Juneau, the capital city of Alaska.
-
A.
Ted Kulongoski
Ted Kulongoski is an American Democratic politician and attorney who served as the 36th governor of Oregon from 2003 to 2011.
-
B.
Hiram Johnson
Hiram Johnson was a prominent early 20th-century American progressive politician who served as governor of California and later as a long-tenured U.S. senator.
-
C.
Hartland Snyder
Hartland Snyder was an American theoretical physicist known for his early work on black hole physics and for being one of J. Robert Oppenheimer’s notable doctoral students.
-
D.
Lou Leon Guerrero
Lou Leon Guerrero is an American politician and former nurse who became the first female governor of Guam.
-
E.
Tom Werner
Tom Werner is an American television producer and businessman best known as a co-owner and chairman of the Boston Red Sox and Liverpool FC.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c4edfa081909fe97c86c3c7801d |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a36730f0a88190aac3d2e796ee544f |
completed | Feb. 28, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69a3678a8c988190895796b2e3de3021 |
completed | Feb. 28, 2026, 10:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3687171208190b470610bf2a2268e |
completed | Feb. 28, 2026, 10:13 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.