Triple

T7727591
Position Surface form Disambiguated ID Type / Status
Subject Natalie MacMaster E175172 entity
Predicate familyName P18 FINISHED
Object MacMaster
MacMaster is a Scottish-origin surname notably associated with Canadian Cape Breton fiddler Natalie MacMaster.
 E683858 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: MacMaster | Statement: [Natalie MacMaster, familyName, MacMaster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MacMaster
Context triple: [Natalie MacMaster, familyName, MacMaster]
  • A. The MAC
    The MAC is a contemporary arts venue in Belfast, Northern Ireland, known for hosting visual art exhibitions, theatre performances, and other cultural events.
  • B. MacVicar
    MacVicar is a Scottish-origin surname associated with individuals such as American actress Martha Vickers (born Martha MacVicar).
  • C. Incessant Mace
    Incessant Mace is a song by the American rock band Soundgarden from their debut studio album, Ultramega OK.
  • D. Mackie
    Mackie is the surname of American rapper Remy Ma, known for her influential role in East Coast hip hop and appearances on reality television.
  • E. Mastro
    Mastro is an Ontology-Based Data Access (OBDA) system that enables querying relational data sources through an ontology layer using high-level semantic queries.
  • 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: MacMaster
Triple: [Natalie MacMaster, familyName, MacMaster]
Generated description
MacMaster is a Scottish-origin surname notably associated with Canadian Cape Breton fiddler Natalie MacMaster.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MacMaster
Target entity description: MacMaster is a Scottish-origin surname notably associated with Canadian Cape Breton fiddler Natalie MacMaster.
  • A. The MAC
    The MAC is a contemporary arts venue in Belfast, Northern Ireland, known for hosting visual art exhibitions, theatre performances, and other cultural events.
  • B. MacVicar
    MacVicar is a Scottish-origin surname associated with individuals such as American actress Martha Vickers (born Martha MacVicar).
  • C. Incessant Mace
    Incessant Mace is a song by the American rock band Soundgarden from their debut studio album, Ultramega OK.
  • D. Mackie
    Mackie is the surname of American rapper Remy Ma, known for her influential role in East Coast hip hop and appearances on reality television.
  • E. Mastro
    Mastro is an Ontology-Based Data Access (OBDA) system that enables querying relational data sources through an ontology layer using high-level semantic queries.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70315e8e88190a5c7e5d2f2ef66bc completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b5275164819096678c019fdd4da4 completed March 29, 2026, 5:14 a.m.
NEDg Description generation batch_69c8b5ed16d48190b127877fc9a11abf completed March 29, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69c8b65a04a48190bf5e01ba0921cf14 completed March 29, 2026, 5:19 a.m.
Created at: March 27, 2026, 4:06 p.m.