Triple

T13779383
Position Surface form Disambiguated ID Type / Status
Subject White Collar E331094 entity
Predicate creator P184 FINISHED
Object Jeff Eastin
Jeff Eastin is an American television producer and screenwriter best known for creating the crime drama series "White Collar."
E1074943 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: Jeff Eastin | Statement: [White Collar, creator, Jeff Eastin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Eastin
Context triple: [White Collar, creator, Jeff Eastin]
  • A. John Eisendrath
    John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
  • B. Chris Ridenhour
    Chris Ridenhour is a film composer known for scoring numerous low-budget genre movies, including works produced by The Asylum.
  • C. Joe Landauer
    Joe Landauer is a film editor known for his work on the feature film "Before I Fall."
  • D. Brian Sipe
    Brian Sipe is a former NFL quarterback best known for his MVP-winning 1980 season with the Cleveland Browns as leader of the "Kardiac Kids."
  • E. Greg Stillson
    Greg Stillson is the ambitious, populist politician and primary antagonist in Stephen King’s novel "The Dead Zone," whose rise to power is foreseen to lead to catastrophic consequences.
  • 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: Jeff Eastin
Triple: [White Collar, creator, Jeff Eastin]
Generated description
Jeff Eastin is an American television producer and screenwriter best known for creating the crime drama series "White Collar."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jeff Eastin
Target entity description: Jeff Eastin is an American television producer and screenwriter best known for creating the crime drama series "White Collar."
  • A. John Eisendrath
    John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
  • B. Chris Ridenhour
    Chris Ridenhour is a film composer known for scoring numerous low-budget genre movies, including works produced by The Asylum.
  • C. Joe Landauer
    Joe Landauer is a film editor known for his work on the feature film "Before I Fall."
  • D. Brian Sipe
    Brian Sipe is a former NFL quarterback best known for his MVP-winning 1980 season with the Cleveland Browns as leader of the "Kardiac Kids."
  • E. Greg Stillson
    Greg Stillson is the ambitious, populist politician and primary antagonist in Stephen King’s novel "The Dead Zone," whose rise to power is foreseen to lead to catastrophic consequences.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0239cbfc81909064ac2457fdfff5 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbc31861b8819089d08c824512ab7f completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fbc53729d081908b74532d2ed54b7a completed May 6, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69fbc5d76cdc8190970778580437cf72 completed May 6, 2026, 10:51 p.m.
Created at: April 9, 2026, 10:11 p.m.