Triple

T13803966
Position Surface form Disambiguated ID Type / Status
Subject Croydon Central E331713 entity
Predicate MP P14470 FINISHED
Object Sarah Jones
Sarah Jones is a British Labour Party politician who has served as the Member of Parliament for Croydon Central.
E1073433 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: Sarah Jones | Statement: [Croydon Central, MP, Sarah Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Jones
Context triple: [Croydon Central, MP, Sarah Jones]
  • A. Sarah Jones
    Sarah Jones was the wife of William R. Davie, a prominent American Revolutionary War officer, statesman, and founder of the University of North Carolina.
  • B. Sarah Jones
    Sarah Jones is an American actress best known for her role as NASA astronaut Tracy Stevens in the alternate-history science fiction series "For All Mankind."
  • C. Rachel Jones
    Rachel Jones is the woman after whom the small town of Rachel, Nevada—known for its proximity to Area 51—was named.
  • D. Elizabeth Jones
    Elizabeth Jones was the wife of British novelist Patrick O'Brian, known for her long and supportive partnership during the period he wrote his acclaimed Aubrey–Maturin series.
  • E. Laura Jones
    Laura Jones is an Australian screenwriter known for her work on acclaimed films such as "High Tide" (1987) and several 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: Sarah Jones
Triple: [Croydon Central, MP, Sarah Jones]
Generated description
Sarah Jones is a British Labour Party politician who has served as the Member of Parliament for Croydon Central.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sarah Jones
Target entity description: Sarah Jones is a British Labour Party politician who has served as the Member of Parliament for Croydon Central.
  • A. Sarah Jones
    Sarah Jones was the wife of William R. Davie, a prominent American Revolutionary War officer, statesman, and founder of the University of North Carolina.
  • B. Sarah Jones
    Sarah Jones is an American actress best known for her role as NASA astronaut Tracy Stevens in the alternate-history science fiction series "For All Mankind."
  • C. Rachel Jones
    Rachel Jones is the woman after whom the small town of Rachel, Nevada—known for its proximity to Area 51—was named.
  • D. Elizabeth Jones
    Elizabeth Jones was the wife of British novelist Patrick O'Brian, known for her long and supportive partnership during the period he wrote his acclaimed Aubrey–Maturin series.
  • E. Laura Jones
    Laura Jones is an Australian screenwriter known for her work on acclaimed films such as "High Tide" (1987) and several 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbac7e59188190ad28707ba363e341 completed May 6, 2026, 9:02 p.m.
NEDg Description generation batch_69fbad35be6c8190aa329fa947cbdcd9 completed May 6, 2026, 9:05 p.m.
NED2 Entity disambiguation (via description) batch_69fbae42ef2c8190b653d95de94042bc completed May 6, 2026, 9:10 p.m.
Created at: April 9, 2026, 10:12 p.m.