Triple

T14345947
Position Surface form Disambiguated ID Type / Status
Subject Sue Brierley E355719 entity
Predicate hasFamilyName P18 FINISHED
Object Brierley
Brierley is a surname most notably associated with Sue Brierley, the adoptive mother of Saroo Brierley whose life story inspired the film "Lion."
 E1093566 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: Brierley | Statement: [Sue Brierley, hasFamilyName, Brierley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brierley
Context triple: [Sue Brierley, hasFamilyName, Brierley]
  • A. Bispham
    Bispham is a coastal suburb and residential area on the Fylde Coast in Lancashire, England, just north of Blackpool.
  • B. Blackley
    Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
  • C. Dawley
    Dawley is a historic town in Shropshire, England, that became part of the new town of Telford during its mid-20th-century development.
  • D. Kilndown
    Kilndown is a small rural village in Kent, England, known for its historic church and woodland surroundings.
  • E. Wordsley
    Wordsley is a suburban village in the West Midlands of England, situated near the town of Stourbridge and historically associated with the region’s glassmaking industry.
  • 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: Brierley
Triple: [Sue Brierley, hasFamilyName, Brierley]
Generated description
Brierley is a surname most notably associated with Sue Brierley, the adoptive mother of Saroo Brierley whose life story inspired the film "Lion."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brierley
Target entity description: Brierley is a surname most notably associated with Sue Brierley, the adoptive mother of Saroo Brierley whose life story inspired the film "Lion."
  • A. Bispham
    Bispham is a coastal suburb and residential area on the Fylde Coast in Lancashire, England, just north of Blackpool.
  • B. Blackley
    Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
  • C. Dawley
    Dawley is a historic town in Shropshire, England, that became part of the new town of Telford during its mid-20th-century development.
  • D. Kilndown
    Kilndown is a small rural village in Kent, England, known for its historic church and woodland surroundings.
  • E. Wordsley
    Wordsley is a suburban village in the West Midlands of England, situated near the town of Stourbridge and historically associated with the region’s glassmaking industry.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8b81bc8190ace2a575faf55cc0 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd469f63b881909c164b1aaadcc15d completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd47bbc5e081908aa8b0e76661234f completed May 8, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69fd4840f0688190975d8c3c7eefb132 completed May 8, 2026, 2:19 a.m.
Created at: April 10, 2026, 1:14 a.m.