Triple

T12616912
Position Surface form Disambiguated ID Type / Status
Subject Rachel Zane E301276 entity
Predicate worksWith P398 FINISHED
Object Mike Ross E660491 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: Mike Ross | Statement: [Rachel Zane, worksWith, Mike Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Ross
Context triple: [Rachel Zane, worksWith, Mike Ross]
  • A. Mike Ross chosen
    Mike Ross is a brilliant but unlicensed lawyer with a photographic memory who becomes a central figure at a prestigious New York law firm in the TV series "Suits."
  • B. Michael Ross
    Michael Ross was an American television writer and producer best known for co-creating influential sitcoms such as The Jeffersons.
  • C. Michael Ross
    Michael Ross is a film editor known for his work on the documentary "The True Cost," which examines the global impact of the fashion industry.
  • D. 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."
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c63ea48190ae1aae9280a023a6 completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719488748190a07bc7335d62b8e8 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:13 p.m.