Triple

T1287713
Position Surface form Disambiguated ID Type / Status
Subject Summer Lightning E27472 entity
Predicate featuresCharacter P626 FINISHED
Object Sue Brown
Sue Brown is a spirited and charming young woman in P. G. Wodehouse’s Blandings Castle stories, notably involved in romantic and comedic entanglements.
E230271 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: Sue Brown | Statement: [Summer Lightning, featuresCharacter, Sue Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sue Brown
Context triple: [Summer Lightning, featuresCharacter, Sue Brown]
  • A. Sue Johnston
    Sue Johnston is an English actress best known for her roles in television dramas such as "Brookside," "The Royle Family," and "Waking the Dead."
  • B. Doreen Brett
    Doreen Brett was the wife of British comedian and actor Norman Wisdom.
  • C. Judith Nelson
    Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
  • D. Deborah Hitchborn
    Deborah Hitchborn was a colonial-era Bostonian and the mother of American patriot and silversmith Paul Revere.
  • E. Pam Oliver
    Pam Oliver is an American sportscaster best known for her long-running work as an NFL sideline reporter on major television networks.
  • 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: Sue Brown
Triple: [Summer Lightning, featuresCharacter, Sue Brown]
Generated description
Sue Brown is a spirited and charming young woman in P. G. Wodehouse’s Blandings Castle stories, notably involved in romantic and comedic entanglements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sue Brown
Target entity description: Sue Brown is a spirited and charming young woman in P. G. Wodehouse’s Blandings Castle stories, notably involved in romantic and comedic entanglements.
  • A. Sue Johnston
    Sue Johnston is an English actress best known for her roles in television dramas such as "Brookside," "The Royle Family," and "Waking the Dead."
  • B. Doreen Brett
    Doreen Brett was the wife of British comedian and actor Norman Wisdom.
  • C. Judith Nelson
    Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
  • D. Deborah Hitchborn
    Deborah Hitchborn was a colonial-era Bostonian and the mother of American patriot and silversmith Paul Revere.
  • E. Pam Oliver
    Pam Oliver is an American sportscaster best known for her long-running work as an NFL sideline reporter on major television networks.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0d1a5508190b4461df77f560df4 completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae26d7583c8190b84127ad2e5ca4c1 completed March 9, 2026, 1:48 a.m.
NEDg Description generation batch_69ae277895488190ae4a2337cf2ae915 completed March 9, 2026, 1:50 a.m.
NED2 Entity disambiguation (via description) batch_69ae27e7113081909835657bfff3f9e8 completed March 9, 2026, 1:52 a.m.
Created at: March 1, 2026, 7:51 p.m.