Triple

T35004687
Position Surface form Disambiguated ID Type / Status
Subject Minor Canons of Westminster Abbey E1009777 entity
Predicate employsTitle P38167 FINISHED
Object Minor Canon
A Minor Canon is a clergy member attached to a cathedral or collegiate church, typically responsible for assisting in the daily choral services and liturgy.
 E2120330 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: Minor Canon | Statement: [Minor Canons of Westminster Abbey, employsTitle, Minor Canon]
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: Minor Canon
Triple: [Minor Canons of Westminster Abbey, employsTitle, Minor Canon]
Generated description
A Minor Canon is a clergy member attached to a cathedral or collegiate church, typically responsible for assisting in the daily choral services and liturgy.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: employsTitle
Context triple: [Minor Canons of Westminster Abbey, employsTitle, Minor Canon]
  • A. workTitle
    Indicates the formal title or name of a work (such as a book, artwork, or composition) associated with an entity.
  • B. workTitleType
    Indicates the specific category or type of a work’s title (e.g., main title, alternative title, translated title) in relation to that work.
  • C. workTitleIn
    Indicates that one entity is the title of a work (e.g., book, film, artwork) that appears within or is contained in another entity.
  • D. workTitleContains
    Indicates that the title of a work includes a specified substring or term.
  • E. titleOrRole chosen
    Indicates that one entity serves as the title, position, or role held or described by another entity.
  • 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_69f76dcb716881909f75e4fd60ab2284 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7cec454a88190a9f3bbee2b856636 completed May 3, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37b293e458819080d32637acf52b05 completed June 21, 2026, 9:44 a.m.
NEDg Description generation batch_6a37b35f30b48190a2ef8bf97859463a completed June 21, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_6a37b47166f48190a351377c2080628e completed June 21, 2026, 9:52 a.m.
PD Predicate disambiguation batch_69f7c8977c288190997a892ec5f756ed completed May 3, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:01 p.m.