Triple
T10472690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William S. Harney |
E246966
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Harney
Harney is a surname of Irish origin borne by various notable individuals, including military figures and public officials.
|
E864639
|
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: Harney | Statement: [William S. Harney, familyName, Harney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harney Context triple: [William S. Harney, familyName, Harney]
-
A.
Kicking Horse Coffee
Kicking Horse Coffee is a Canadian coffee company known for its organic, fair-trade whole-bean coffees and bold branding.
-
B.
Peet
Peet is a surname most notably associated with American actress Amanda Peet.
-
C.
Kensett
Kensett is the surname of John Frederick Kensett, a prominent 19th-century American landscape painter associated with the Hudson River School.
-
D.
Columbia Crest
Columbia Crest is the highest summit of Mount Rainier, forming the true geographic peak of this iconic stratovolcano in Washington State.
-
E.
Brewster
Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
- 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: Harney Triple: [William S. Harney, familyName, Harney]
Generated description
Harney is a surname of Irish origin borne by various notable individuals, including military figures and public officials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harney Target entity description: Harney is a surname of Irish origin borne by various notable individuals, including military figures and public officials.
-
A.
Kicking Horse Coffee
Kicking Horse Coffee is a Canadian coffee company known for its organic, fair-trade whole-bean coffees and bold branding.
-
B.
Peet
Peet is a surname most notably associated with American actress Amanda Peet.
-
C.
Kensett
Kensett is the surname of John Frederick Kensett, a prominent 19th-century American landscape painter associated with the Hudson River School.
-
D.
Columbia Crest
Columbia Crest is the highest summit of Mount Rainier, forming the true geographic peak of this iconic stratovolcano in Washington State.
-
E.
Brewster
Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5094daac081908e0ba5e10c1bbb67 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a0140f4c81908ce95b28e09cb04b |
completed | April 10, 2026, 7 a.m. |
| NEDg | Description generation | batch_69d8a166404881909c28141fefea2936 |
completed | April 10, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a2c550ac81908444c6abfe14698a |
completed | April 10, 2026, 7:12 a.m. |
Created at: April 6, 2026, 12:20 p.m.