Triple

T22807037
Position Surface form Disambiguated ID Type / Status
Subject Hill family E564564 entity
Predicate notableMember P10 FINISHED
Object Clara Anne Hill
Clara Anne Hill is a distinguished member of the Hill family, recognized for her prominence and contributions within that lineage.
 E1555325 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: Clara Anne Hill | Statement: [Hill family, notableMember, Clara Anne Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clara Anne Hill
Context triple: [Hill family, notableMember, Clara Anne Hill]
  • A. Clara Jane Bryant
    Clara Jane Bryant was an American philanthropist best known as the wife of industrialist and Ford Motor Company founder Henry Ford.
  • B. Clara Ann Fowler
    Clara Ann Fowler, better known by her stage name Patti Page, was a hugely popular American singer and one of the best-selling female artists of the 1950s.
  • C. Clara Clayton
    Clara Clayton is a schoolteacher from the Old West and Doc Brown’s love interest in the film "Back to the Future Part III."
  • D. Clara Smith
    Clara Smith was the wife of renowned photographer and curator Edward Steichen.
  • E. Clara Louise Stone
    Clara Louise Stone was the wife of American statesman and author John Hay, noted for her role in Washington, D.C. social circles during his diplomatic and political career.
  • 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: Clara Anne Hill
Triple: [Hill family, notableMember, Clara Anne Hill]
Generated description
Clara Anne Hill is a distinguished member of the Hill family, recognized for her prominence and contributions within that lineage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clara Anne Hill
Target entity description: Clara Anne Hill is a distinguished member of the Hill family, recognized for her prominence and contributions within that lineage.
  • A. Clara Jane Bryant
    Clara Jane Bryant was an American philanthropist best known as the wife of industrialist and Ford Motor Company founder Henry Ford.
  • B. Clara Ann Fowler
    Clara Ann Fowler, better known by her stage name Patti Page, was a hugely popular American singer and one of the best-selling female artists of the 1950s.
  • C. Clara Clayton
    Clara Clayton is a schoolteacher from the Old West and Doc Brown’s love interest in the film "Back to the Future Part III."
  • D. Clara Smith
    Clara Smith was the wife of renowned photographer and curator Edward Steichen.
  • E. Clara Louise Stone
    Clara Louise Stone was the wife of American statesman and author John Hay, noted for her role in Washington, D.C. social circles during his diplomatic and political career.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d5d41dc819081912d9e29828bfb completed April 29, 2026, 3:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e9dbb3881909f6fa69466bf3eff completed May 18, 2026, 11:19 p.m.
NEDg Description generation batch_6a0ba0853f7c8190ad9c85a927c3d7ba completed May 18, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba0fa26488190b2246d85b9b5a7b5 completed May 18, 2026, 11:30 p.m.
Created at: April 17, 2026, 3:32 p.m.