Triple

T13333854
Position Surface form Disambiguated ID Type / Status
Subject NFL Live E317638 entity
Predicate hasAnalyst P8698 FINISHED
Object Marcus Spears
Marcus Spears is a former NFL defensive end who has become a prominent football analyst and television personality.
E1035454 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: Marcus Spears | Statement: [NFL Live, hasAnalyst, Marcus Spears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcus Spears
Context triple: [NFL Live, hasAnalyst, Marcus Spears]
  • A. Mark Bryant
    Mark Bryant is a relatively common personal name shared by multiple individuals, including professionals in fields such as sports, politics, and academia.
  • B. Sid Jeffers
    Sid Jeffers is a fictional character from the film "Humoresque," involved in the dramatic world surrounding a talented but troubled violinist.
  • C. Michele Little
    Michele Little is an American former film and television actress known for her work in the 1980s and early 1990s.
  • D. Miles Archer
    Miles Archer is a private detective and Sam Spade’s ill-fated partner in Dashiell Hammett’s novel "The Maltese Falcon."
  • E. Meldrick Lewis
    Meldrick Lewis is a central detective character on the television crime drama "Homicide: Life on the Street," known for his streetwise demeanor and sharp investigative instincts.
  • 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: Marcus Spears
Triple: [NFL Live, hasAnalyst, Marcus Spears]
Generated description
Marcus Spears is a former NFL defensive end who has become a prominent football analyst and television personality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marcus Spears
Target entity description: Marcus Spears is a former NFL defensive end who has become a prominent football analyst and television personality.
  • A. Mark Bryant
    Mark Bryant is a relatively common personal name shared by multiple individuals, including professionals in fields such as sports, politics, and academia.
  • B. Sid Jeffers
    Sid Jeffers is a fictional character from the film "Humoresque," involved in the dramatic world surrounding a talented but troubled violinist.
  • C. Michele Little
    Michele Little is an American former film and television actress known for her work in the 1980s and early 1990s.
  • D. Miles Archer
    Miles Archer is a private detective and Sam Spade’s ill-fated partner in Dashiell Hammett’s novel "The Maltese Falcon."
  • E. Meldrick Lewis
    Meldrick Lewis is a central detective character on the television crime drama "Homicide: Life on the Street," known for his streetwise demeanor and sharp investigative instincts.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cff44e08190b9583baf0b626e42 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f36e4cc819093007404ceb5da31 completed May 3, 2026, 10:11 a.m.
NEDg Description generation batch_69f72126765481908ef6e6ae7349bd30 completed May 3, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_69f7221887208190ac98945a023bc496 completed May 3, 2026, 10:23 a.m.
Created at: April 9, 2026, 9:30 p.m.