Triple

T10905806
Position Surface form Disambiguated ID Type / Status
Subject The Good Place E257565 entity
Predicate mainCharacter P1183 FINISHED
Object Janet E74976 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: Janet | Statement: [The Good Place, mainCharacter, Janet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janet
Context triple: [The Good Place, mainCharacter, Janet]
  • A. Janet chosen
    Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • B. Janice
    Janice is a feminine given name commonly used in English-speaking countries.
  • C. Judy
    "Judy" is a 2019 biographical drama film in which Renée Zellweger portrays legendary entertainer Judy Garland during her final years, a role that earned her widespread acclaim and major acting awards.
  • D. Judy
    Judy is a character in the 2014 British apocalyptic comedy film "The Second Coming."
  • E. Judy
    Judy is a central teenage character in the film "Rebel Without a Cause," known for her complex relationship with her parents and her emotional bond with Jim Stark.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7706679b48190a1f29fc64fe8a334 completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e216c69b088190b8fa192cd8fe23ed completed April 17, 2026, 11:17 a.m.
Created at: April 8, 2026, 9:22 p.m.