Triple

T5140328
Position Surface form Disambiguated ID Type / Status
Subject "Howdy, Neighbor!" E115929 entity
Predicate filmStudio P6107 FINISHED
Object Metro-Goldwyn-Mayer (MGM) E27316 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: Metro-Goldwyn-Mayer (MGM) | Statement: ["Howdy, Neighbor!", filmStudio, Metro-Goldwyn-Mayer (MGM)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro-Goldwyn-Mayer (MGM)
Context triple: ["Howdy, Neighbor!", filmStudio, Metro-Goldwyn-Mayer (MGM)]
  • A. Metro-Goldwyn-Mayer chosen
    Metro-Goldwyn-Mayer is a historic American film studio renowned for its classic Hollywood productions and iconic roaring lion logo.
  • B. MGM
    MGM (Metro-Goldwyn-Mayer) is a historic American film studio renowned for its iconic roaring lion logo and for producing many of the most famous movies of Hollywood’s Golden Age.
  • C. MGM
    MGM is a major American entertainment and hospitality brand best known for its iconic casinos, resorts, and film studio legacy.
  • D. MGM
    MGM is the IATA airport code for Montgomery Regional Airport, the primary commercial airport serving Montgomery, Alabama.
  • E. Selznick International Pictures
    Selznick International Pictures was an American film production company founded by producer David O. Selznick, best known for creating lavish, high-profile Hollywood epics in the 1930s and 1940s.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787ce7fc8190844b6078755cddad completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7f117ac8190a03379437484627b completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:43 p.m.