Triple

T2900726
Position Surface form Disambiguated ID Type / Status
Subject Big E62646 entity
Predicate editedBy P1954 FINISHED
Object Stephen A. Rotter E396426 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: Stephen A. Rotter | Statement: [Big, editedBy, Stephen A. Rotter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen A. Rotter
Context triple: [Big, editedBy, Stephen A. Rotter]
  • A. Stephen A. Rotter chosen
    Stephen A. Rotter is a film editor best known for his work on major Hollywood movies, including the comedy "Dirty Rotten Scoundrels."
  • B. Edward S. Feldman
    Edward S. Feldman is an American film producer known for overseeing a range of notable movies across several decades, including acclaimed dramas and thrillers.
  • C. James D. Stern
    James D. Stern is an American film producer and director known for backing a range of acclaimed independent and genre films, as well as documentaries.
  • D. Neil A. Machlis
    Neil A. Machlis is a film producer best known for his work on major Hollywood comedies, including the classic road-trip film "Planes, Trains and Automobiles."
  • E. Louis D. Rubin Jr.
    Louis D. Rubin Jr. was an influential American literary critic, scholar, and publisher best known for his pioneering work on Southern literature and for co-founding Algonquin Books.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0b081308190af8875151fb11c4e completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b65efe2ab881909bc709f369a75b6f completed March 15, 2026, 7:25 a.m.
Created at: March 6, 2026, 10:10 p.m.