Triple

T14213652
Position Surface form Disambiguated ID Type / Status
Subject Epic E352292 entity
Predicate screenwriter P2831 FINISHED
Object James V. Hart E359522 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: James V. Hart | Statement: [Epic, screenwriter, James V. Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James V. Hart
Context triple: [Epic, screenwriter, James V. Hart]
  • A. James V. Hart chosen
    James V. Hart is an American screenwriter and producer best known for adapting classic literary and fantasy works for film, including projects like "Bram Stoker's Dracula" and "Hook."
  • B. James T. Hart
    James T. Hart is the ambitious and idealistic Harvard Law School student who serves as the central protagonist in the novel, film, and television series "The Paper Chase."
  • C. Thomas S. Eisenstadt
    Thomas S. Eisenstadt was the sheriff of Suffolk County, Massachusetts, best known for his role as the named petitioner in the landmark U.S. Supreme Court contraception case Eisenstadt v. Baird (1972).
  • D. Philip R. Goodwin
    Philip R. Goodwin was an American illustrator and painter best known for his early 20th-century wildlife and outdoor sporting scenes.
  • E. Philip B. Heymann
    Philip B. Heymann was an American legal scholar and former high-ranking U.S. Justice Department official known for his work in criminal law, national security, and public service.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620f07bc81909212dcd1c91b5f95 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef5c11708190a7fd4c0682b6ed81 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 1:06 a.m.