Triple

T5224629
Position Surface form Disambiguated ID Type / Status
Subject Search for Tomorrow E117954 entity
Predicate starredActor P5563 FINISHED
Object Anthony George
Anthony George was an American television actor best known for his roles in mid-20th-century soap operas and crime dramas.
 E503827 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: Anthony George | Statement: [Search for Tomorrow, starredActor, Anthony George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anthony George
Context triple: [Search for Tomorrow, starredActor, Anthony George]
  • A. Earl Baldwin
    Earl Baldwin was an American screenwriter active during Hollywood's early sound era, known for contributing to numerous studio films in the 1930s and 1940s.
  • B. Arthur George
    Arthur George is a sock and hosiery brand co-founded by Rob Kardashian, known for its colorful and playful designs.
  • C. William Ball
    William Ball is a relatively common personal name shared by multiple individuals across various fields, including politics, the arts, and sports.
  • D. Anthony Wood
    Anthony Wood is a technology entrepreneur best known as the founder and CEO of Roku, a leading streaming media platform.
  • E. John Lyons
    John Lyons is a film producer best known for his work on major Hollywood comedies, including the Austin Powers 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: Anthony George
Triple: [Search for Tomorrow, starredActor, Anthony George]
Generated description
Anthony George was an American television actor best known for his roles in mid-20th-century soap operas and crime dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anthony George
Target entity description: Anthony George was an American television actor best known for his roles in mid-20th-century soap operas and crime dramas.
  • A. Earl Baldwin
    Earl Baldwin was an American screenwriter active during Hollywood's early sound era, known for contributing to numerous studio films in the 1930s and 1940s.
  • B. Arthur George
    Arthur George is a sock and hosiery brand co-founded by Rob Kardashian, known for its colorful and playful designs.
  • C. William Ball
    William Ball is a relatively common personal name shared by multiple individuals across various fields, including politics, the arts, and sports.
  • D. Anthony Wood
    Anthony Wood is a technology entrepreneur best known as the founder and CEO of Roku, a leading streaming media platform.
  • E. John Lyons
    John Lyons is a film producer best known for his work on major Hollywood comedies, including the Austin Powers 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7abd3ed48190bfd8d2f2ca399741 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69beeffc51888190938dc157b14c4b6c completed March 21, 2026, 7:22 p.m.
NEDg Description generation batch_69bef0b2b6448190be1c465738be741b completed March 21, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69bef121817c8190aebd27ee34c0a419 completed March 21, 2026, 7:27 p.m.
Created at: March 20, 2026, 1:48 p.m.