Triple

T12391611
Position Surface form Disambiguated ID Type / Status
Subject Californication E296006 entity
Predicate productionCompany P490 FINISHED
Object And Then E693629 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: And Then | Statement: [Californication, productionCompany, And Then]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: And Then
Context triple: [Californication, productionCompany, And Then]
  • A. And Then chosen
    And Then is a classic early 20th-century Japanese novel by Natsume Sōseki that explores the inner turmoil and social alienation of an educated man in a rapidly modernizing society.
  • B. And Then...
    And Then... is a 2003 R&B album by American singer Joe, featuring smooth ballads and mid-tempo tracks that showcase his signature soulful style.
  • C. Till Then
    "Till Then" is a popular 1944 sentimental ballad by The Mills Brothers that became one of their signature wartime hits.
  • D. And Still
    "And Still" is a reflective, emotionally charged song by English musician Peter Gabriel, known for its atmospheric production and introspective lyrics.
  • E. Before and After
    "Before and After" is a 1996 American drama film, based on Rosellen Brown’s novel, about a family’s turmoil after their teenage son is accused of murder.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd0bcc48190bb1a59a3aaa6bfdf completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6347c239881909a031e9e195080c9 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.