Triple

T14455188
Position Surface form Disambiguated ID Type / Status
Subject SCTV E358440 entity
Predicate featuredActor P5563 FINISHED
Object Joe Flaherty
Joe Flaherty was a Canadian-American comedian and actor best known as an original cast member and writer on the sketch comedy series SCTV.
 E1110241 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: Joe Flaherty | Statement: [SCTV, featuredActor, Joe Flaherty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joe Flaherty
Context triple: [SCTV, featuredActor, Joe Flaherty]
  • A. Sean P. Leahy
    Sean P. Leahy is a notable individual recognized for achievements significant enough to be associated with the surname Leahy.
  • B. Kevin J. Leahy
    Kevin J. Leahy is a scholar and author, best known for his work in archaeology and the study of early medieval metalwork in Britain.
  • C. Mike Flaherty
    Mike Flaherty is the fast-talking, politically savvy deputy mayor of New York City and central character played by Michael J. Fox on the sitcom "Spin City."
  • D. Mark McGann
    Mark McGann is an English actor and director known for his work in television, film, and theatre, and as one of the four acting McGann brothers.
  • E. Tom McDonough
    Tom McDonough is an editor and writer known for his work on the publication "A Gunfight."
  • 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: Joe Flaherty
Triple: [SCTV, featuredActor, Joe Flaherty]
Generated description
Joe Flaherty was a Canadian-American comedian and actor best known as an original cast member and writer on the sketch comedy series SCTV.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joe Flaherty
Target entity description: Joe Flaherty was a Canadian-American comedian and actor best known as an original cast member and writer on the sketch comedy series SCTV.
  • A. Sean P. Leahy
    Sean P. Leahy is a notable individual recognized for achievements significant enough to be associated with the surname Leahy.
  • B. Kevin J. Leahy
    Kevin J. Leahy is a scholar and author, best known for his work in archaeology and the study of early medieval metalwork in Britain.
  • C. Mike Flaherty
    Mike Flaherty is the fast-talking, politically savvy deputy mayor of New York City and central character played by Michael J. Fox on the sitcom "Spin City."
  • D. Mark McGann
    Mark McGann is an English actor and director known for his work in television, film, and theatre, and as one of the four acting McGann brothers.
  • E. Tom McDonough
    Tom McDonough is an editor and writer known for his work on the publication "A Gunfight."
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a8bf088190abf5fd4f646b8c62 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda90a7f2881909a7744f1f4344173 completed May 8, 2026, 9:12 a.m.
NEDg Description generation batch_69fdb1d37098819089c71aafe298b5c0 completed May 8, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69fdb29c80948190bdf2f19cc9c5b192 completed May 8, 2026, 9:53 a.m.
Created at: April 10, 2026, 1:19 a.m.