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.