Triple

T5140460
Position Surface form Disambiguated ID Type / Status
Subject MGM backlot E115935 entity
Predicate partOf P40 FINISHED
Object MGM studio complex E10100 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: MGM studio complex | Statement: [MGM backlot, partOf, MGM studio complex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MGM studio complex
Context triple: [MGM backlot, partOf, MGM studio complex]
  • A. MGM
    MGM is a major American entertainment and hospitality brand best known for its iconic casinos, resorts, and film studio legacy.
  • B. MGM
    MGM is the IATA airport code for Montgomery Regional Airport, the primary commercial airport serving Montgomery, Alabama.
  • C. MGM chosen
    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.
  • D. MGM Park
    MGM Park is a minor league baseball stadium in Biloxi, Mississippi, best known as the home field of the Biloxi Shuckers.
  • E. MGM Grand
    MGM Grand is a massive, world-famous hotel and casino resort on the Las Vegas Strip known for its extensive gaming floor, entertainment venues, and iconic green exterior.
  • 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_69bd787e5fe88190834042a73d4d9619 completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefa31458819094b53cbc7a2f5677 completed March 21, 2026, 7:21 p.m.
Created at: March 20, 2026, 1:43 p.m.