Triple
T2881328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raymond Carver |
E59402
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Carver
Carver is a surname most notably associated with American short story writer and poet Raymond Carver, a key figure in late 20th-century minimalist fiction.
|
E307956
|
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: Carver | Statement: [Raymond Carver, familyName, Carver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carver Context triple: [Raymond Carver, familyName, Carver]
-
A.
Carver
Carver is a small town in southeastern Massachusetts known for its cranberry bogs and rural character.
-
B.
Carver
Carver is a common shorthand name for Carver-Hawkeye Arena, the University of Iowa’s primary indoor sports venue.
-
C.
Voss
Voss is a municipality in western Norway known for its scenic landscapes, outdoor sports, and traditional cultural festivals.
-
D.
Kaven
Kaven is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
-
E.
Cedar Miles
Cedar Miles is the frequent flyer loyalty program of Middle East Airlines, offering members mileage accrual and redemption benefits on flights and partner services.
- 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: Carver Triple: [Raymond Carver, familyName, Carver]
Generated description
Carver is a surname most notably associated with American short story writer and poet Raymond Carver, a key figure in late 20th-century minimalist fiction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carver Target entity description: Carver is a surname most notably associated with American short story writer and poet Raymond Carver, a key figure in late 20th-century minimalist fiction.
-
A.
Carver
Carver is a small town in southeastern Massachusetts known for its cranberry bogs and rural character.
-
B.
Carver
Carver is a common shorthand name for Carver-Hawkeye Arena, the University of Iowa’s primary indoor sports venue.
-
C.
Voss
Voss is a municipality in western Norway known for its scenic landscapes, outdoor sports, and traditional cultural festivals.
-
D.
Kaven
Kaven is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
-
E.
Cedar Miles
Cedar Miles is the frequent flyer loyalty program of Middle East Airlines, offering members mileage accrual and redemption benefits on flights and partner services.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe0296be081908070bd48fe4fc926 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b031633efc819088c2ea29eafaff0f |
completed | March 10, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69b033894ca881908691b88e6108257c |
completed | March 10, 2026, 3:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b03c3af7b48190b66bb32df59196e3 |
completed | March 10, 2026, 3:43 p.m. |
Created at: March 6, 2026, 10:03 p.m.