Triple

T13499529
Position Surface form Disambiguated ID Type / Status
Subject Ellsworth Fredericks E320847 entity
Predicate familyName P18 FINISHED
Object Fredericks
Fredericks is a surname of English origin borne by various notable individuals across fields such as film, sports, and public life.
 E1045097 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: Fredericks | Statement: [Ellsworth Fredericks, familyName, Fredericks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fredericks
Context triple: [Ellsworth Fredericks, familyName, Fredericks]
  • A. Frederickson
    Frederickson is a surname of likely Scandinavian origin borne by various individuals, including film producer Gray Frederickson.
  • B. Stonefoots
    Stonefoots is a prominent Dwarven house known within fantasy lore for its sturdy lineage and traditional craftsmanship.
  • C. Dryfoos
    Dryfoos is a surname most notably associated with Orvil E. Dryfoos, a former publisher of The New York Times.
  • D. Burch
    Burch is a surname of English origin borne by various notable individuals across politics, arts, and other fields.
  • E. Fauset
    Fauset is a surname most notably associated with Jessie Redmon Fauset, an influential African American editor, poet, and novelist of the Harlem Renaissance.
  • 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: Fredericks
Triple: [Ellsworth Fredericks, familyName, Fredericks]
Generated description
Fredericks is a surname of English origin borne by various notable individuals across fields such as film, sports, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fredericks
Target entity description: Fredericks is a surname of English origin borne by various notable individuals across fields such as film, sports, and public life.
  • A. Frederickson
    Frederickson is a surname of likely Scandinavian origin borne by various individuals, including film producer Gray Frederickson.
  • B. Stonefoots
    Stonefoots is a prominent Dwarven house known within fantasy lore for its sturdy lineage and traditional craftsmanship.
  • C. Dryfoos
    Dryfoos is a surname most notably associated with Orvil E. Dryfoos, a former publisher of The New York Times.
  • D. Burch
    Burch is a surname of English origin borne by various notable individuals across politics, arts, and other fields.
  • E. Fauset
    Fauset is a surname most notably associated with Jessie Redmon Fauset, an influential African American editor, poet, and novelist of the Harlem Renaissance.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4fab688190bdc746985b0c7338 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75487cb3c8190ab7f3bc36755b74c completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f75585cac88190bcf3fcd714d73b1b completed May 3, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69f7561f170c8190b12c79fbbe57ad91 completed May 3, 2026, 2:05 p.m.
Created at: April 9, 2026, 9:43 p.m.