Triple

T3993108
Position Surface form Disambiguated ID Type / Status
Subject Vicious E87037 entity
Predicate executiveProducer P7225 FINISHED
Object Gary Janetti E404193 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: Gary Janetti | Statement: [Vicious, executiveProducer, Gary Janetti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary Janetti
Context triple: [Vicious, executiveProducer, Gary Janetti]
  • A. Gary Janetti chosen
    Gary Janetti is an American television writer, producer, and satirist known for his sharp, acerbic humor on shows like "Will & Grace" and "Family Guy" as well as his popular social media commentary.
  • B. Douglas Day Stewart
    Douglas Day Stewart is an American screenwriter and director best known for writing the film "An Officer and a Gentleman" and other character-driven dramas.
  • C. William Jacobs
    William Jacobs was an American film producer active during Hollywood's studio era, known for overseeing a range of genre films including classic horror titles.
  • D. Gary Reich
    Gary Reich is a television producer best known for his work on the British comedy series "Vicious."
  • E. Richard Lacayo
    Richard Lacayo is an American journalist and critic best known for his long tenure at Time magazine, where he served as an art and literary critic and co-created major cultural lists and features.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa1d9d8c8190982d092a73d38564 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c50f348819090ebfd8b5192c819 completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:33 p.m.