Triple

T9726924
Position Surface form Disambiguated ID Type / Status
Subject Stuart Heisler E235636 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: [Stuart Heisler, notableWork, The Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Star
Context triple: [Stuart Heisler, notableWork, The Star]
  • A. 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.
  • B. The Star
    The Star was a late 19th-century London evening newspaper known for its sensational and often moralistic coverage of crime and scandal.
  • C. 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.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e798c348190885b79d7dffc9d8d completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fb208a48190864f8f085da83db7 completed April 4, 2026, 11:33 p.m.
Created at: March 30, 2026, 8:21 p.m.