Triple

T3066321
Position Surface form Disambiguated ID Type / Status
Subject The Good Shepherd E62111 entity
Predicate screenwriter P2831 FINISHED
Object Eric Roth E58441 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: Eric Roth | Statement: [The Good Shepherd, screenwriter, Eric Roth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Roth
Context triple: [The Good Shepherd, screenwriter, Eric Roth]
  • A. Eric Roth chosen
    Eric Roth is an acclaimed American screenwriter best known for writing the Oscar-winning screenplay for "Forrest Gump" and contributing to numerous other major films.
  • B. Joel Silver
    Joel Silver is a prominent American film producer known for high-octane action and genre-defining hits such as the "Lethal Weapon" and "The Matrix" franchises.
  • C. Roger Spottiswoode
    Roger Spottiswoode is a British-Canadian film director and editor known for directing a range of Hollywood features, including the James Bond film "Tomorrow Never Dies."
  • D. John Toll
    John Toll is an acclaimed American cinematographer known for his visually striking work on numerous major films, including "The Adjustment Bureau."
  • E. Marcus Reiner
    Marcus Reiner was an influential engineer and physicist renowned for his pioneering contributions to rheology, the study of the flow and deformation of matter.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fd87308190918e7b616f033faa completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f87bec6c8190ae928fc7c4467859 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:02 p.m.