Triple

T8337337
Position Surface form Disambiguated ID Type / Status
Subject Ruth Elizabeth Davis E195820 entity
Predicate notableWork P4 FINISHED
Object The Star E144660 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: The Star | Statement: [Ruth Elizabeth Davis, notableWork, The Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Star
Context triple: [Ruth Elizabeth Davis, notableWork, The Star]
  • A. The Star chosen
    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
    The Star is the English title of Surah An-Najm, a chapter of the Qur’an that emphasizes the divine origin of revelation and the authority of the Prophet Muhammad.
  • 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 (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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd5027c81909724f25aa30bbe58 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95e17300819090e405c4c60b280d completed April 1, 2026, 10:02 p.m.
Created at: March 30, 2026, 5:57 p.m.