Triple

T11613894
Position Surface form Disambiguated ID Type / Status
Subject Harriet Ackers E275453 entity
Predicate hasFamilyName P18 FINISHED
Object Ackers
Ackers is a surname of English origin borne by various individuals and families.
 E935544 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: Ackers | Statement: [Harriet Ackers, hasFamilyName, Ackers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ackers
Context triple: [Harriet Ackers, hasFamilyName, Ackers]
  • A. Ackers
    Ackers is the family name of Jean Acker, an early 20th-century American film actress known for her work in silent cinema.
  • B. Ackerley
    Ackerley is an English surname most notably associated with the writer and editor J. R. Ackerley.
  • C. Akers
    Akers is the surname of Michelle Akers, a legendary American soccer player widely regarded as one of the greatest in women’s football history.
  • D. Arncott
    Arncott is a village in Oxfordshire, England, known for its proximity to Bicester and association with nearby military facilities.
  • E. Innerwick
    Innerwick is a small village in East Lothian, Scotland, known for its rural setting and historic parish church.
  • 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: Ackers
Triple: [Harriet Ackers, hasFamilyName, Ackers]
Generated description
Ackers is a surname of English origin borne by various individuals and families.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ackers
Target entity description: Ackers is a surname of English origin borne by various individuals and families.
  • A. Ackers
    Ackers is the family name of Jean Acker, an early 20th-century American film actress known for her work in silent cinema.
  • B. Ackerley
    Ackerley is an English surname most notably associated with the writer and editor J. R. Ackerley.
  • C. Akers
    Akers is the surname of Michelle Akers, a legendary American soccer player widely regarded as one of the greatest in women’s football history.
  • D. Arncott
    Arncott is a village in Oxfordshire, England, known for its proximity to Bicester and association with nearby military facilities.
  • E. Innerwick
    Innerwick is a small village in East Lothian, Scotland, known for its rural setting and historic parish church.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a044a3088190b92f4674c2d0b443 completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a84161d88190a3e810d19d6ea8b8 completed April 22, 2026, 10:51 a.m.
NEDg Description generation batch_69e8af972e90819096568e7ec2a34059 completed April 22, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69e8b0aa21e0819090157b11309a84f6 completed April 22, 2026, 11:27 a.m.
Created at: April 8, 2026, 9:38 p.m.