Triple

T4305231
Position Surface form Disambiguated ID Type / Status
Subject Muir E99938 entity
Predicate variantOrRelatedSurname P16885 FINISHED
Object Mure
Mure is a Scottish surname historically associated with Lowland families and often considered a variant of or related to the name Muir.
 E430882 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: Mure | Statement: [Muir, variantOrRelatedSurname, Mure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mure
Context triple: [Muir, variantOrRelatedSurname, Mure]
  • A. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • B. Moura
    Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
  • C. Nahe
    Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
  • D. Yerre
    The Yerre is a river in northern France that flows through the Île-de-France region before joining the Loir.
  • E. Rissne
    Rissne is a residential district and urban area in the Stockholm metropolitan region of Sweden, known for its mix of apartment housing and proximity to public transit.
  • 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: Mure
Triple: [Muir, variantOrRelatedSurname, Mure]
Generated description
Mure is a Scottish surname historically associated with Lowland families and often considered a variant of or related to the name Muir.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mure
Target entity description: Mure is a Scottish surname historically associated with Lowland families and often considered a variant of or related to the name Muir.
  • A. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • B. Moura
    Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
  • C. Nahe
    Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
  • D. Yerre
    The Yerre is a river in northern France that flows through the Île-de-France region before joining the Loir.
  • E. Rissne
    Rissne is a residential district and urban area in the Stockholm metropolitan region of Sweden, known for its mix of apartment housing and proximity to public transit.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350ba57ec8190afda7d8318e5d2d0 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d07aede08190bbabc6a7b5a7dfb6 completed March 14, 2026, 9:17 p.m.
NEDg Description generation batch_69b5d1710864819085834d7bd8727876 completed March 14, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69b5d1dc0d0881908563c79823a8113f completed March 14, 2026, 9:23 p.m.
Created at: March 12, 2026, 11:09 p.m.