Triple

T10419244
Position Surface form Disambiguated ID Type / Status
Subject Rumer Godden E245600 entity
Predicate hasSibling P363 FINISHED
Object Jon Godden
Jon Godden was a British novelist and the sister of writer Rumer Godden, known for her own works of fiction often set in India.
 E872168 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: Jon Godden | Statement: [Rumer Godden, hasSibling, Jon Godden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jon Godden
Context triple: [Rumer Godden, hasSibling, Jon Godden]
  • A. Jonathan Gledhill
    Jonathan Gledhill was an English Anglican bishop who served in senior episcopal roles in the Church of England, including as Bishop of Stafford.
  • B. Nick Gillard
    Nick Gillard is a British stunt coordinator and fight choreographer best known for designing the iconic lightsaber duels in the Star Wars prequel trilogy.
  • C. Geoff Travis
    Geoff Travis is a British music industry figure best known as the founder of the influential independent label Rough Trade Records.
  • D. Chris Godfrey
    Chris Godfrey is a visual effects artist and film industry professional best known as the founder of the Australian digital production and VFX studio Animal Logic.
  • E. Gavin Millar
    Gavin Millar was a Scottish film and television director, critic, and producer known for his work on British dramas and literary adaptations.
  • 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: Jon Godden
Triple: [Rumer Godden, hasSibling, Jon Godden]
Generated description
Jon Godden was a British novelist and the sister of writer Rumer Godden, known for her own works of fiction often set in India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jon Godden
Target entity description: Jon Godden was a British novelist and the sister of writer Rumer Godden, known for her own works of fiction often set in India.
  • A. Jonathan Gledhill
    Jonathan Gledhill was an English Anglican bishop who served in senior episcopal roles in the Church of England, including as Bishop of Stafford.
  • B. Nick Gillard
    Nick Gillard is a British stunt coordinator and fight choreographer best known for designing the iconic lightsaber duels in the Star Wars prequel trilogy.
  • C. Geoff Travis
    Geoff Travis is a British music industry figure best known as the founder of the influential independent label Rough Trade Records.
  • D. Chris Godfrey
    Chris Godfrey is a visual effects artist and film industry professional best known as the founder of the Australian digital production and VFX studio Animal Logic.
  • E. Gavin Millar
    Gavin Millar was a Scottish film and television director, critic, and producer known for his work on British dramas and literary adaptations.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea2aa7848190a7091ee71722fcc6 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d94afc8ef0819093791447d3c3c018 completed April 10, 2026, 7:09 p.m.
NEDg Description generation batch_69d94ca07da481908f2d546f8ddc9326 completed April 10, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69d94e8687bc819082b672a64bf85500 completed April 10, 2026, 7:24 p.m.
Created at: April 6, 2026, 12:11 p.m.