Triple

T6028308
Position Surface form Disambiguated ID Type / Status
Subject Efrem Zimbalist Jr. E134235 entity
Predicate givenName P17 FINISHED
Object Efrem
Efrem is a masculine given name most notably borne by American actor Efrem Zimbalist Jr., known for his roles in classic television series.
 E564473 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: Efrem | Statement: [Efrem Zimbalist Jr., givenName, Efrem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Efrem
Context triple: [Efrem Zimbalist Jr., givenName, Efrem]
  • A. Elvin
    Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
  • B. John Whynot
    John Whynot is a Canadian record producer, engineer, and musician known for his work with artists such as Neil Young and Bruce Cockburn.
  • C. Denis Burlap
    Denis Burlap is a character in Aldous Huxley’s novel "Point Counter Point," often seen as a satirical portrayal of a self-important literary intellectual.
  • D. Victor Rasuk
    Victor Rasuk is an American actor known for roles in films like "Lords of Dogtown" and "How to Make It in America," as well as supporting parts in major franchises.
  • E. Oscar Fraley
    Oscar Fraley was an American journalist and author best known for co-writing the book that inspired the television series and film "The Untouchables."
  • 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: Efrem
Triple: [Efrem Zimbalist Jr., givenName, Efrem]
Generated description
Efrem is a masculine given name most notably borne by American actor Efrem Zimbalist Jr., known for his roles in classic television series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Efrem
Target entity description: Efrem is a masculine given name most notably borne by American actor Efrem Zimbalist Jr., known for his roles in classic television series.
  • A. Elvin
    Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
  • B. John Whynot
    John Whynot is a Canadian record producer, engineer, and musician known for his work with artists such as Neil Young and Bruce Cockburn.
  • C. Denis Burlap
    Denis Burlap is a character in Aldous Huxley’s novel "Point Counter Point," often seen as a satirical portrayal of a self-important literary intellectual.
  • D. Victor Rasuk
    Victor Rasuk is an American actor known for roles in films like "Lords of Dogtown" and "How to Make It in America," as well as supporting parts in major franchises.
  • E. Oscar Fraley
    Oscar Fraley was an American journalist and author best known for co-writing the book that inspired the television series and film "The Untouchables."
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0560e3c2c8190aea2619386fc5538 completed March 22, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1137d6a648190a91795fb679a891c completed March 23, 2026, 10:18 a.m.
NEDg Description generation batch_69c11423d05c81909298ae598c80ccb0 completed March 23, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69c11498f2948190bcca6b8054186e75 completed March 23, 2026, 10:23 a.m.
Created at: March 22, 2026, 4:07 p.m.