Triple
T12941846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Dorn |
E309655
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Edward Dorn
Edward Dorn was an American poet and writer associated with the Black Mountain poets, known for his incisive, often satirical explorations of the American West and its politics.
|
E1038821
|
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: Edward Dorn | Statement: [Ed Dorn, birthName, Edward Dorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Dorn Context triple: [Ed Dorn, birthName, Edward Dorn]
-
A.
Doug Mahon
Doug Mahon is a technology entrepreneur best known as a founder of the data storage company Seagate Technology.
-
B.
Frank Bidart
Frank Bidart is an acclaimed American poet known for his psychologically intense, formally inventive work that has earned him major literary honors, including the National Book Award for Poetry.
-
C.
Charles Bernstein
Charles Bernstein is an American composer best known for his film scores, particularly his iconic horror music.
-
D.
Stephen Dunn
Stephen Dunn was an American poet and Pulitzer Prize winner known for his accessible, reflective verse exploring everyday life and human relationships.
-
E.
Kay Young
Kay Young was a British actress known for her stage and film work in the mid-20th century.
- 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: Edward Dorn Triple: [Ed Dorn, birthName, Edward Dorn]
Generated description
Edward Dorn was an American poet and writer associated with the Black Mountain poets, known for his incisive, often satirical explorations of the American West and its politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edward Dorn Target entity description: Edward Dorn was an American poet and writer associated with the Black Mountain poets, known for his incisive, often satirical explorations of the American West and its politics.
-
A.
Doug Mahon
Doug Mahon is a technology entrepreneur best known as a founder of the data storage company Seagate Technology.
-
B.
Frank Bidart
Frank Bidart is an acclaimed American poet known for his psychologically intense, formally inventive work that has earned him major literary honors, including the National Book Award for Poetry.
-
C.
Charles Bernstein
Charles Bernstein is an American composer best known for his film scores, particularly his iconic horror music.
-
D.
Stephen Dunn
Stephen Dunn was an American poet and Pulitzer Prize winner known for his accessible, reflective verse exploring everyday life and human relationships.
-
E.
Kay Young
Kay Young was a British actress known for her stage and film work in the mid-20th century.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dca2ee88190b45fafe7d53c35c9 |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73051273c81909eb91c923f37557e |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f73195e4d88190ad356d0e3e18d34f |
completed | May 3, 2026, 11:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73220ffc08190bfb1b89757efd606 |
completed | May 3, 2026, 11:31 a.m. |
Created at: April 9, 2026, 5:43 p.m.