Triple

T20234420
Position Surface form Disambiguated ID Type / Status
Subject Private Worlds E495611 entity
Predicate title P38 FINISHED
Object Private Worlds 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: Private Worlds | Statement: [Private Worlds, title, Private Worlds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Private Worlds
Context triple: [Private Worlds, title, Private Worlds]
  • A. Private Worlds chosen
    Private Worlds is a 1935 drama film best known for earning Claudette Colbert an Academy Award nomination for Best Actress.
  • B. Our Private World
    Our Private World was a short-lived 1965 American primetime soap opera that spun off characters and storylines from the daytime serial As the World Turns.
  • C. Inner Worlds
    Inner Worlds is a jazz fusion album by the Mahavishnu Orchestra that showcases their later-period blend of electric jazz, rock, and world music influences.
  • D. Between Worlds
    "Between Worlds" is a film featuring actor Hopper Penn in a significant role that helped establish his presence in contemporary cinema.
  • E. Imagined Worlds
    Imagined Worlds is a collection of visionary essays and lectures by physicist and futurist Freeman Dyson exploring the future of science, technology, and human civilization.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e67167fae88190a26ff10d698174f8 completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.