Triple

T2599657
Position Surface form Disambiguated ID Type / Status
Subject Manchester Grammar School E58310 entity
Predicate hasAlumniDemonym P51 FINISHED
Object Old Mancunian
Old Mancunian is the traditional term for a former pupil of Manchester Grammar School.
 E282676 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: Old Mancunian | Statement: [Manchester Grammar School, hasAlumniDemonym, Old Mancunian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Old Mancunian
Context triple: [Manchester Grammar School, hasAlumniDemonym, Old Mancunian]
  • A. Manchester Met
    Manchester Met is a large public university in Manchester, England, known for its vocationally oriented courses, strong links with industry, and diverse student population.
  • B. Trafford
    Trafford is a metropolitan borough in Greater Manchester, England, encompassing a mix of residential, commercial, and sporting areas including parts of Manchester’s urban region.
  • C. Collyhurst
    Collyhurst is an inner-city district of Manchester, England, known historically for its red sandstone quarries and working-class residential character.
  • D. Salford
    Salford is a city in Greater Manchester, England, known for its industrial heritage and the modern MediaCityUK development on the Salford Quays.
  • E. Salford
    Salford is a small rural village in the West Oxfordshire district of Oxfordshire, England.
  • 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: Old Mancunian
Triple: [Manchester Grammar School, hasAlumniDemonym, Old Mancunian]
Generated description
Old Mancunian is the traditional term for a former pupil of Manchester Grammar School.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Old Mancunian
Target entity description: Old Mancunian is the traditional term for a former pupil of Manchester Grammar School.
  • A. Manchester Met
    Manchester Met is a large public university in Manchester, England, known for its vocationally oriented courses, strong links with industry, and diverse student population.
  • B. Trafford
    Trafford is a metropolitan borough in Greater Manchester, England, encompassing a mix of residential, commercial, and sporting areas including parts of Manchester’s urban region.
  • C. Collyhurst
    Collyhurst is an inner-city district of Manchester, England, known historically for its red sandstone quarries and working-class residential character.
  • D. Salford
    Salford is a city in Greater Manchester, England, known for its industrial heritage and the modern MediaCityUK development on the Salford Quays.
  • E. Salford
    Salford is a small rural village in the West Oxfordshire district of Oxfordshire, England.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd457564c819080d8c8818c02545a completed March 7, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83cfdd6081908cdeb21243e73dda completed March 10, 2026, 2:37 a.m.
NEDg Description generation batch_69af878cfbd8819092e81326bbb1dfd3 completed March 10, 2026, 2:53 a.m.
NED2 Entity disambiguation (via description) batch_69af8809574c819087ebf57cf5cffb7c completed March 10, 2026, 2:55 a.m.
Created at: March 6, 2026, 9:49 p.m.