Triple

T21991297
Position Surface form Disambiguated ID Type / Status
Subject Jameela Jamil E543094 entity
Predicate notableWork P4 FINISHED
Object The Good Place NE NERFINISHED

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: The Good Place | Statement: [Jameela Jamil, notableWork, The Good Place]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Good Place
Context triple: [Jameela Jamil, notableWork, The Good Place]
  • A. The Good Place chosen
    The Good Place is a critically acclaimed American fantasy-comedy television series that explores ethics and the afterlife through witty, philosophical storytelling.
  • B. A Good Place
    "A Good Place" is a song by the experimental pop band Horn of Plenty.
  • C. The Good Place: The Podcast
    The Good Place: The Podcast is a companion audio series to the TV show "The Good Place," featuring in-depth discussions, behind-the-scenes insights, and interviews with the cast and creators about each episode.
  • D. Avenue 5
    Avenue 5 is a retail section within the Sawgrass Mills shopping center, featuring a variety of brand-name stores and outlets.
  • E. Avenue 5
    Avenue 5 is a sci-fi comedy television series set aboard a luxury space cruise ship, created by Armando Iannucci and known for its satirical take on space travel and corporate incompetence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270d7cbc819086eea86be04a2ec0 completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:05 p.m.