Triple

T24538585
Position Surface form Disambiguated ID Type / Status
Subject William the Englishman E607024 entity
Predicate has epithet P23283 FINISHED
Object the Englishman
The Englishman was a medieval architect and master mason, known for his work on significant ecclesiastical buildings in Italy, including parts of the Basilica of San Francesco in Assisi.
 E1638524 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: the Englishman | Statement: [William the Englishman, has epithet, the Englishman]
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: the Englishman
Triple: [William the Englishman, has epithet, the Englishman]
Generated description
The Englishman was a medieval architect and master mason, known for his work on significant ecclesiastical buildings in Italy, including parts of the Basilica of San Francesco in Assisi.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: has epithet
Context triple: [William the Englishman, has epithet, the Englishman]
  • A. epithetAppliedBy
    Indicates that a particular epithet or descriptive label is used or assigned by a specific agent to a target entity.
  • B. epithetOrTitle chosen
    Indicates that one entity serves as an epithet, honorific, or formal title used to designate or characterize another entity.
  • C. hasEpithetOrigin
    Indicates that the origin or source of an epithet (a descriptive name or label) is specified for an entity.
  • D. epithetOfOwner
    Indicates that a descriptive epithet or nickname is associated with and refers specifically to the owner of an entity.
  • E. hasMeaningOfEpithet
    Indicates that one entity expresses or conveys the meaning or sense of another entity’s epithet.
  • 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_69e2c4c9bf94819082d05da6f5c29907 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2be044d4c819094e14eda28d371a7 completed April 30, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0feea3fe048190a12255b1be7b5eb8 completed May 22, 2026, 5:50 a.m.
NEDg Description generation batch_6a0fefe9541481909d7dbd79fdf1ef92 completed May 22, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff0cecaf48190951f21afea7a103c completed May 22, 2026, 5:59 a.m.
PD Predicate disambiguation batch_69f2a6b0ca8081908d931aec560eae56 completed April 30, 2026, 12:47 a.m.
Created at: April 18, 2026, 2:26 a.m.