Triple

T20331209
Position Surface form Disambiguated ID Type / Status
Subject Trudy Campbell E492484 entity
Predicate hasInLaw P51928 FINISHED
Object Tom Vogel
Tom Vogel is a fictional character from the television series "Mad Men," known as the wealthy and influential father of Pete Campbell.
 E1424626 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: Tom Vogel | Statement: [Trudy Campbell, hasInLaw, Tom Vogel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Vogel
Context triple: [Trudy Campbell, hasInLaw, Tom Vogel]
  • A. Peter Vogel
    Peter Vogel is an Australian engineer and entrepreneur best known as the co-creator of the Fairlight CMI, one of the first digital sampling synthesizers that revolutionized music production.
  • B. Hal Vogel
    Hal Vogel is a film producer known for his work on the historical drama "True History of the Kelly Gang."
  • C. Robert Vogel
    Robert Vogel is a world-renowned practical shooting champion and firearms instructor known for his multiple IPSC and USPSA titles.
  • D. Tony Vogel
    Tony Vogel was a British actor known for his work in film and television, including roles in productions such as Omen III: The Final Conflict.
  • E. Don Keefer
    Don Keefer is a driven, often abrasive but ultimately principled cable news producer in the television drama series "The Newsroom."
  • 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: Tom Vogel
Triple: [Trudy Campbell, hasInLaw, Tom Vogel]
Generated description
Tom Vogel is a fictional character from the television series "Mad Men," known as the wealthy and influential father of Pete Campbell.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Vogel
Target entity description: Tom Vogel is a fictional character from the television series "Mad Men," known as the wealthy and influential father of Pete Campbell.
  • A. Peter Vogel
    Peter Vogel is an Australian engineer and entrepreneur best known as the co-creator of the Fairlight CMI, one of the first digital sampling synthesizers that revolutionized music production.
  • B. Hal Vogel
    Hal Vogel is a film producer known for his work on the historical drama "True History of the Kelly Gang."
  • C. Robert Vogel
    Robert Vogel is a world-renowned practical shooting champion and firearms instructor known for his multiple IPSC and USPSA titles.
  • D. Tony Vogel
    Tony Vogel was a British actor known for his work in film and television, including roles in productions such as Omen III: The Final Conflict.
  • E. Don Keefer
    Don Keefer is a driven, often abrasive but ultimately principled cable news producer in the television drama series "The Newsroom."
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e7baf481909282293d78597634 completed April 20, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a086951af848190ae8085b7917ea551 completed May 16, 2026, 12:55 p.m.
NEDg Description generation batch_6a0869e2a80481909105005195330dc9 completed May 16, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a086a6ad6c88190be1770758d2e1bbf completed May 16, 2026, 1 p.m.
Created at: April 16, 2026, 11:22 a.m.