Triple

T9416762
Position Surface form Disambiguated ID Type / Status
Subject Ainsley Whitly E227041 entity
Predicate creator P184 FINISHED
Object Sam Sklaver E630794 NE FINISHED

How this triple was built (2 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: Sam Sklaver | Statement: [Ainsley Whitly, creator, Sam Sklaver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Sklaver
Context triple: [Ainsley Whitly, creator, Sam Sklaver]
  • A. Sam Sklaver chosen
    Sam Sklaver is a television writer and producer best known for co-creating and executive producing the crime drama series "Prodigal Son."
  • B. Charlie Schlatter
    Charlie Schlatter is an American actor and voice actor known for his energetic performances in television, film, and animation, including prominent roles in series like "Diagnosis: Murder" and various animated shows.
  • C. Marvin Krislov
    Marvin Krislov is an American academic leader and former president of Oberlin College who serves as the president of Pace University in New York.
  • D. Sam Spewack
    Sam Spewack was an American playwright and screenwriter best known for his collaborations with his wife Bella Spewack on Broadway musicals such as "Kiss Me, Kate."
  • E. John Speshock
    John Speshock is an individual credited in film and television production, known primarily for behind-the-scenes work in the entertainment industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68cb4be08190a47f901a9703f9db completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107bfd73481908e07d0ee2774bd59 completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:48 p.m.