Triple

T8268455
Position Surface form Disambiguated ID Type / Status
Subject Young Sheldon E193358 entity
Predicate stars P1956 FINISHED
Object Matt Hobby
Matt Hobby is an American actor and comedian best known for playing Pastor Jeff Difford on the television series "Young Sheldon."
 E729253 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: Matt Hobby | Statement: [Young Sheldon, stars, Matt Hobby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matt Hobby
Context triple: [Young Sheldon, stars, Matt Hobby]
  • A. Mark Holbrook
    Mark Holbrook is a notable individual whose prominence has led to his recognition as a distinguished bearer of the Holbrook surname.
  • B. Matt Wolpert
    Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
  • C. Ben Haggerty
    Ben Haggerty, better known by his stage name Macklemore, is an American rapper and songwriter recognized for hits like "Thrift Shop" and "Can't Hold Us."
  • D. Matt Hulett
    Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
  • E. Sam Holbrook
    Sam Holbrook is a Major League Baseball umpire known for officiating numerous high-profile games and postseason series.
  • 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: Matt Hobby
Triple: [Young Sheldon, stars, Matt Hobby]
Generated description
Matt Hobby is an American actor and comedian best known for playing Pastor Jeff Difford on the television series "Young Sheldon."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matt Hobby
Target entity description: Matt Hobby is an American actor and comedian best known for playing Pastor Jeff Difford on the television series "Young Sheldon."
  • A. Mark Holbrook
    Mark Holbrook is a notable individual whose prominence has led to his recognition as a distinguished bearer of the Holbrook surname.
  • B. Matt Wolpert
    Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
  • C. Ben Haggerty
    Ben Haggerty, better known by his stage name Macklemore, is an American rapper and songwriter recognized for hits like "Thrift Shop" and "Can't Hold Us."
  • D. Matt Hulett
    Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
  • E. Sam Holbrook
    Sam Holbrook is a Major League Baseball umpire known for officiating numerous high-profile games and postseason series.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb795127ac81908196008f5579f83f completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde75a2e048190b0de47a21e662baa completed April 2, 2026, 3:49 a.m.
NEDg Description generation batch_69cdeb1fa7308190810b1fcc2184374a completed April 2, 2026, 4:05 a.m.
NED2 Entity disambiguation (via description) batch_69cdec3081d88190ad0699f9072d3fc7 completed April 2, 2026, 4:10 a.m.
Created at: March 30, 2026, 5:50 p.m.