Triple
T17450575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J Harlen Bretz |
E424901
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Harlen
Harlen is the given name of J Harlen Bretz, the American geologist known for his pioneering work on the Missoula Floods and the Channeled Scablands.
|
E1269366
|
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: Harlen | Statement: [J Harlen Bretz, givenName, Harlen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harlen Context triple: [J Harlen Bretz, givenName, Harlen]
-
A.
Warley
Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
-
B.
Hannan
Hannan is a coastal city in southern Osaka Prefecture, Japan, known for its fishing industry and proximity to Osaka Bay.
-
C.
Herron
Herron is the maiden surname of Helen Herron Taft, the First Lady of the United States from 1909 to 1913 and wife of President William Howard Taft.
-
D.
Larue
Larue is a Vietnamese beer brand produced by Asia Pacific Breweries, known for its pale lager popular in central Vietnam.
-
E.
Winslow
Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
- 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: Harlen Triple: [J Harlen Bretz, givenName, Harlen]
Generated description
Harlen is the given name of J Harlen Bretz, the American geologist known for his pioneering work on the Missoula Floods and the Channeled Scablands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harlen Target entity description: Harlen is the given name of J Harlen Bretz, the American geologist known for his pioneering work on the Missoula Floods and the Channeled Scablands.
-
A.
Warley
Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
-
B.
Hannan
Hannan is a coastal city in southern Osaka Prefecture, Japan, known for its fishing industry and proximity to Osaka Bay.
-
C.
Herron
Herron is the maiden surname of Helen Herron Taft, the First Lady of the United States from 1909 to 1913 and wife of President William Howard Taft.
-
D.
Larue
Larue is a Vietnamese beer brand produced by Asia Pacific Breweries, known for its pale lager popular in central Vietnam.
-
E.
Winslow
Winslow is a small historic market town in Buckinghamshire, England, known for its traditional architecture and rural surroundings.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4513d00f48190802a3bdc8c8f4db5 |
completed | April 19, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01affcfcc88190b3dcb6b267946919 |
completed | May 11, 2026, 10:31 a.m. |
| NEDg | Description generation | batch_6a01b164864481909673d9351bb7f817 |
completed | May 11, 2026, 10:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b251040c8190a1d030cb55e4f052 |
completed | May 11, 2026, 10:41 a.m. |
Created at: April 10, 2026, 5:47 a.m.