Triple

T19543348
Position Surface form Disambiguated ID Type / Status
Subject Jim Johannsen E488966 entity
Predicate appearsIn P795 FINISHED
Object The Star — 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 Star | Statement: [Jim Johannsen, appearsIn, The Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Star
Context triple: [Jim Johannsen, appearsIn, The Star]
  • A. The Star
    The Star is a 1952 drama film starring Bette Davis as a fading Hollywood actress struggling with the loss of her fame and career.
  • B. The Star
    "The Star" is a science fiction short story by H. G. Wells that depicts the catastrophic approach of a celestial body toward Earth and explores humanity’s varied reactions to impending global disaster.
  • C. The Star
    The Star was a late 19th-century London evening newspaper known for its sensational and often moralistic coverage of crime and scandal.
  • D. The Star chosen
    The Star is a 2017 animated Christian comedy film that retells the Nativity story from the perspective of the animals who accompany Mary and Joseph to Bethlehem.
  • E. The Star
    The Star is a mixed-use development in Frisco, Texas that serves as the Dallas Cowboys’ headquarters and practice facility, surrounded by retail, dining, and entertainment venues.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e638750b288190aecdb0e18a1add62 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.