Triple

T3282923
Position Surface form Disambiguated ID Type / Status
Subject Denver E68913 entity
Predicate familyName P18 FINISHED
Object Suggs
Suggs is a surname shared by various notable individuals across fields such as sports, music, and entertainment.
 E345203 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: Suggs | Statement: [Denver, familyName, Suggs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Suggs
Context triple: [Denver, familyName, Suggs]
  • A. Sam Mills
    Sam Mills was a standout undersized linebacker and team leader in the NFL, best known for his Pro Bowl play and inspirational presence with the New Orleans Saints and Carolina Panthers.
  • B. Stuart Maynard
    Stuart Maynard is an English football manager best known for managing Notts County F.C. in the lower tiers of the English football league system.
  • C. Toby Sedgwick
    Toby Sedgwick is a British movement director, actor, and choreographer known for his innovative physical theatre work on major stage productions, including the National Theatre’s "Frankenstein" and the original production of "War Horse."
  • D. Mark Owen
    Mark Owen is an English singer and songwriter best known as a member of the pop group Take That.
  • E. Eric Blore
    Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
  • 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: Suggs
Triple: [Denver, familyName, Suggs]
Generated description
Suggs is a surname shared by various notable individuals across fields such as sports, music, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Suggs
Target entity description: Suggs is a surname shared by various notable individuals across fields such as sports, music, and entertainment.
  • A. Sam Mills
    Sam Mills was a standout undersized linebacker and team leader in the NFL, best known for his Pro Bowl play and inspirational presence with the New Orleans Saints and Carolina Panthers.
  • B. Stuart Maynard
    Stuart Maynard is an English football manager best known for managing Notts County F.C. in the lower tiers of the English football league system.
  • C. Toby Sedgwick
    Toby Sedgwick is a British movement director, actor, and choreographer known for his innovative physical theatre work on major stage productions, including the National Theatre’s "Frankenstein" and the original production of "War Horse."
  • D. Mark Owen
    Mark Owen is an English singer and songwriter best known as a member of the pop group Take That.
  • E. Eric Blore
    Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0345d448190a1f936abe7748e33 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85528c88190b1e98c680baf3fa8 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2ec48bf888190a5eeac0aa2cc50c3 completed March 12, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_69b2ecd134e88190933e52d7f1f5be2a completed March 12, 2026, 4:41 p.m.
Created at: March 8, 2026, 3:10 p.m.