Triple

T2214697
Position Surface form Disambiguated ID Type / Status
Subject Backlot E47998 entity
Predicate name P16 FINISHED
Object Backlot E47998 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: Backlot | Statement: [Backlot, name, Backlot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Backlot
Context triple: [Backlot, name, Backlot]
  • A. Backlot chosen
    Backlot is a program at the Telluride Film Festival dedicated to films about cinema, featuring documentaries and works that explore filmmakers, film history, and the moviemaking process.
  • B. MGM backlot
    The MGM backlot was the expansive outdoor filming area of Metro-Goldwyn-Mayer Studios, famous for its elaborate standing sets that appeared in countless classic Hollywood films and musicals.
  • C. Hillside
    Hillside is the former Concord, Massachusetts home of author Nathaniel Hawthorne, now a historic site known as The Wayside.
  • D. Culver Studios
    Culver Studios is a historic film and television production studio in Culver City, California, known for its iconic mansion-style main building and role in classic Hollywood filmmaking.
  • E. Platinum Dunes
    Platinum Dunes is an American film production company, co-founded by Michael Bay, known for producing horror and thriller films such as remakes of classic franchises and original hits like "A Quiet Place."
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbfef875c8190b642736b4cc11d4c completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6554f3308190a180cac3ad7e2ce4 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.