Triple

T6966249
Position Surface form Disambiguated ID Type / Status
Subject George Jefferson E161495 entity
Predicate creator P184 FINISHED
Object Michael Ross E161494 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: Michael Ross | Statement: [George Jefferson, creator, Michael Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Ross
Context triple: [George Jefferson, creator, Michael Ross]
  • A. Michael Ross chosen
    Michael Ross was an American television writer and producer best known for co-creating influential sitcoms such as The Jeffersons.
  • B. Howard Hamlin
    Howard Hamlin is a high-powered, image-conscious attorney and partner at the law firm Hamlin, Hamlin & McGill in the television series "Better Call Saul."
  • C. Mark Robarts
    Mark Robarts is an ambitious young clergyman in Anthony Trollope’s novel "Framley Parsonage," whose social aspirations and financial imprudence drive much of the story’s conflict.
  • D. Kim Wexler
    Kim Wexler is a highly skilled and morally conflicted attorney whose complex relationship with Jimmy McGill/Saul Goodman is central to the character-driven drama of Better Call Saul.
  • E. Brad Grey
    Brad Grey was an American television and film producer who served as chairman and CEO of Paramount Pictures, overseeing the studio during a major period of commercial and critical success.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db121174819098e73e45f6c9cc91 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c758a57b8481908cef7de9b3abf7a3 completed March 28, 2026, 4:27 a.m.
Created at: March 27, 2026, 2:30 p.m.