Triple

T26203496
Position Surface form Disambiguated ID Type / Status
Subject Leeds Grammar School E655296 entity
Predicate alumniDesignation P150737 FINISHED
Object Old Leodensians
Old Leodensians are former pupils of Leeds Grammar School, a historic independent school in Leeds, England.
 E1715560 NE FINISHED

How this triple was built (3 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 Leodensians | Statement: [Leeds Grammar School, alumniDesignation, Old Leodensians]
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 Leodensians
Triple: [Leeds Grammar School, alumniDesignation, Old Leodensians]
Generated description
Old Leodensians are former pupils of Leeds Grammar School, a historic independent school in Leeds, England.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: alumniDesignation
Context triple: [Leeds Grammar School, alumniDesignation, Old Leodensians]
  • A. alumniType chosen
    Indicates the specific category or classification of an alumnus/alumna in relation to an institution (e.g., graduate, former student, honorary).
  • B. namedAlumnus
    Indicates that an entity is explicitly identified or designated as an alumnus of another entity (such as an institution or organization).
  • C. hasEducationalDesignation
    Indicates that an entity holds a specific educational title, status, or classification assigned by an educational system or institution.
  • D. alumniRole
    Indicates that an entity holds or held a specific role, position, or capacity as an alumnus/alumna of another entity (such as an institution or program).
  • E. namedAfterAlumnusOf
    Indicates that one entity is named in honor of a person who is an alumnus of another specified institution or organization.
  • F. None of above.

Provenance (6 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_69ee5b48236c81908fe385b6afc4f60b completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60cdd664c8190862fe9543ab251c9 completed May 2, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11858429ac8190955894142ddef431 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a11861f5bd08190873109d86ffaca0a completed May 23, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a1186f95c8c8190ab60afefe537a971 completed May 23, 2026, 10:52 a.m.
PD Predicate disambiguation batch_69f5b007ec1c819092e2c3605933f60b completed May 2, 2026, 8:04 a.m.
Created at: April 26, 2026, 8:49 p.m.