Triple

T12416415
Position Surface form Disambiguated ID Type / Status
Subject Edith Swannesha E296647 entity
Predicate child P120 FINISHED
Object Godwin Haroldson
Godwin Haroldson was an 11th-century English nobleman, known primarily as a son of Edith Swannesha and thus a member of the extended family of King Harold Godwinson.
E980945 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: Godwin Haroldson | Statement: [Edith Swannesha, child, Godwin Haroldson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Godwin Haroldson
Context triple: [Edith Swannesha, child, Godwin Haroldson]
  • A. Giles Healey
    Giles Healey was an American photographer and explorer best known for documenting the Maya murals at Bonampak, which brought the site to international attention.
  • B. Martin Hawke
    Martin Hawke is a person notable enough to be recognized as a prominent bearer of the surname Hawke.
  • C. Giles Hopkins
    Giles Hopkins was a Mayflower passenger and early settler in Plymouth Colony, known as the son of fellow passenger Stephen Hopkins.
  • D. John Quaintance
    John Quaintance is a screenwriter best known for his work on the comedy film "Material Girls."
  • E. Mr. Majestyk
    Mr. Majestyk is a crime novel by Elmore Leonard about a Vietnam veteran and melon farmer who clashes violently with the mob after standing up to local corruption.
  • 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: Godwin Haroldson
Triple: [Edith Swannesha, child, Godwin Haroldson]
Generated description
Godwin Haroldson was an 11th-century English nobleman, known primarily as a son of Edith Swannesha and thus a member of the extended family of King Harold Godwinson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Godwin Haroldson
Target entity description: Godwin Haroldson was an 11th-century English nobleman, known primarily as a son of Edith Swannesha and thus a member of the extended family of King Harold Godwinson.
  • A. Giles Healey
    Giles Healey was an American photographer and explorer best known for documenting the Maya murals at Bonampak, which brought the site to international attention.
  • B. Martin Hawke
    Martin Hawke is a person notable enough to be recognized as a prominent bearer of the surname Hawke.
  • C. Giles Hopkins
    Giles Hopkins was a Mayflower passenger and early settler in Plymouth Colony, known as the son of fellow passenger Stephen Hopkins.
  • D. John Quaintance
    John Quaintance is a screenwriter best known for his work on the comedy film "Material Girls."
  • E. Mr. Majestyk
    Mr. Majestyk is a crime novel by Elmore Leonard about a Vietnam veteran and melon farmer who clashes violently with the mob after standing up to local corruption.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6de5808190b2116b0b491c40b5 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634915940819092665f1f35aa823d completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f635997b088190b6207fcac5594eb2 completed May 2, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_69f636d727a08190882eec3fd664b64d completed May 2, 2026, 5:39 p.m.
Created at: April 8, 2026, 9:55 p.m.