Triple

T4967255
Position Surface form Disambiguated ID Type / Status
Subject Aberdeen Grammar School E111558 entity
Predicate hasMotto P42 FINISHED
Object Bon Record
Bon Record is the traditional Latin motto associated with Aberdeen Grammar School, reflecting its emphasis on maintaining a good record or reputation.
E482841 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: Bon Record | Statement: [Aberdeen Grammar School, hasMotto, Bon Record]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bon Record
Context triple: [Aberdeen Grammar School, hasMotto, Bon Record]
  • A. Ben Ever
    Ben Ever is a prominent hill in the Ochil Hills range of central Scotland, popular with walkers for its accessible slopes and expansive views.
  • B. Billy Joe Royal
    Billy Joe Royal was an American pop and country singer best known for his 1965 hit single "Down in the Boondocks."
  • C. Lee Boardman
    Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
  • D. Alan Black
    Alan Black is a Northern Irish man known for being the sole survivor of the 1976 Kingsmill massacre during the Troubles.
  • E. Jonathan King
    Jonathan King is a British singer-songwriter, record producer, and former music industry figure known for his 1960s pop hits and later controversial legal troubles.
  • 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: Bon Record
Triple: [Aberdeen Grammar School, hasMotto, Bon Record]
Generated description
Bon Record is the traditional Latin motto associated with Aberdeen Grammar School, reflecting its emphasis on maintaining a good record or reputation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bon Record
Target entity description: Bon Record is the traditional Latin motto associated with Aberdeen Grammar School, reflecting its emphasis on maintaining a good record or reputation.
  • A. Ben Ever
    Ben Ever is a prominent hill in the Ochil Hills range of central Scotland, popular with walkers for its accessible slopes and expansive views.
  • B. Billy Joe Royal
    Billy Joe Royal was an American pop and country singer best known for his 1965 hit single "Down in the Boondocks."
  • C. Lee Boardman
    Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
  • D. Alan Black
    Alan Black is a Northern Irish man known for being the sole survivor of the 1976 Kingsmill massacre during the Troubles.
  • E. Jonathan King
    Jonathan King is a British singer-songwriter, record producer, and former music industry figure known for his 1960s pop hits and later controversial legal troubles.
  • 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71f8f550819099235511ca271e2d completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81f43b60819091134778c6379893 completed March 21, 2026, 11:33 a.m.
NEDg Description generation batch_69be82c740988190b1fc8af6bafba375 completed March 21, 2026, 11:36 a.m.
NED2 Entity disambiguation (via description) batch_69be83cb23488190af7098f9d7af167f completed March 21, 2026, 11:40 a.m.
Created at: March 20, 2026, 1:32 p.m.