Triple

T6379389
Position Surface form Disambiguated ID Type / Status
Subject Run for Cover E143542 entity
Predicate featuresArtist P1952 FINISHED
Object Gary Ferguson
Gary Ferguson is a musician known for his work as a featured artist on recordings such as the track "Run for Cover."
E588433 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: Gary Ferguson | Statement: [Run for Cover, featuresArtist, Gary Ferguson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary Ferguson
Context triple: [Run for Cover, featuresArtist, Gary Ferguson]
  • A. Graeme Ferguson
    Graeme Ferguson was a Canadian filmmaker and co-founder of the IMAX large-format cinema technology.
  • B. Tom Fergusson
    Tom Fergusson was a Scottish football figure best known as the founder of Stirling Albion F.C.
  • C. Neil Ferguson
    Neil Ferguson is a British epidemiologist and professor known for his influential infectious disease modeling and advisory role in public health policy, particularly during the COVID-19 pandemic.
  • D. Joe Fagan
    Joe Fagan was an English football manager best known for leading Liverpool to a historic treble of league, European Cup, and League Cup titles in the 1983–84 season.
  • E. Duncan Ferguson
    Duncan Ferguson is a former Scottish professional footballer and coach, best known as a powerful Everton striker in the 1990s and 2000s who later moved into football management.
  • 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: Gary Ferguson
Triple: [Run for Cover, featuresArtist, Gary Ferguson]
Generated description
Gary Ferguson is a musician known for his work as a featured artist on recordings such as the track "Run for Cover."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gary Ferguson
Target entity description: Gary Ferguson is a musician known for his work as a featured artist on recordings such as the track "Run for Cover."
  • A. Graeme Ferguson
    Graeme Ferguson was a Canadian filmmaker and co-founder of the IMAX large-format cinema technology.
  • B. Tom Fergusson
    Tom Fergusson was a Scottish football figure best known as the founder of Stirling Albion F.C.
  • C. Neil Ferguson
    Neil Ferguson is a British epidemiologist and professor known for his influential infectious disease modeling and advisory role in public health policy, particularly during the COVID-19 pandemic.
  • D. Joe Fagan
    Joe Fagan was an English football manager best known for leading Liverpool to a historic treble of league, European Cup, and League Cup titles in the 1983–84 season.
  • E. Duncan Ferguson
    Duncan Ferguson is a former Scottish professional footballer and coach, best known as a powerful Everton striker in the 1990s and 2000s who later moved into football management.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685029488190911fb24c470b6f0d completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62da95aac81909e5e6d310168a5f6 completed March 27, 2026, 7:11 a.m.
NEDg Description generation batch_69c62e318ac48190bf604e265c185fad completed March 27, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69c62ee892208190b3b005a9bd41b744 completed March 27, 2026, 7:16 a.m.
Created at: March 22, 2026, 4:33 p.m.