Triple

T27509352
Position Surface form Disambiguated ID Type / Status
Subject Royal Grammar School, Worcester E694366 entity
Predicate hasFormerPupilDesignation P57762 FINISHED
Object Old Elizabethans
Old Elizabethans is the traditional name used to refer to former pupils of the Royal Grammar School, Worcester.
 E1775835 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 Elizabethans | Statement: [Royal Grammar School, Worcester, hasFormerPupilDesignation, Old Elizabethans]
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 Elizabethans
Triple: [Royal Grammar School, Worcester, hasFormerPupilDesignation, Old Elizabethans]
Generated description
Old Elizabethans is the traditional name used to refer to former pupils of the Royal Grammar School, Worcester.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasFormerPupilDesignation
Context triple: [Royal Grammar School, Worcester, hasFormerPupilDesignation, Old Elizabethans]
  • A. hasFormerPupilRole
    Indicates that an entity previously held the role or position of a pupil or student in relation to another entity.
  • B. hasEducationalDesignation chosen
    Indicates that an entity holds a specific educational title, status, or classification assigned by an educational system or institution.
  • C. hasFormerInstitution
    Indicates that an entity was previously affiliated with, employed by, or enrolled in a particular institution in the past.
  • D. hasFormerInstitutionName
    Indicates that an institution was previously known by a different name.
  • E. hasPupilFutureRole
    Indicates that a pupil is expected or designated to hold a specific role or position in the future.
  • 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_69ef53842afc8190ba6bd4e4999bda67 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f707f7959881908f037f0d6b1d0c36 completed May 3, 2026, 8:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12bbfd5f94819097979c3c041f3c18 completed May 24, 2026, 8:51 a.m.
NEDg Description generation batch_6a12bd205e9c81908e89639719aa4ac2 completed May 24, 2026, 8:56 a.m.
NED2 Entity disambiguation (via description) batch_6a12bdc819e4819090b6ecae640773ab completed May 24, 2026, 8:58 a.m.
PD Predicate disambiguation batch_69f700fc274c8190a128593dc7c7abd0 completed May 3, 2026, 8:02 a.m.
Created at: April 27, 2026, 1:15 p.m.