Triple

T6168622
Position Surface form Disambiguated ID Type / Status
Subject Adrian E137635 entity
Predicate employer P7 FINISHED
Object MGM E179667 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 | Statement: [Adrian, employer, MGM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MGM
Context triple: [Adrian, employer, MGM]
  • A. 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.
  • B. MGM chosen
    MGM is a major American entertainment and hospitality brand best known for its iconic casinos, resorts, and film studio legacy.
  • C. MGM
    MGM is the IATA airport code for Montgomery Regional Airport, the primary commercial airport serving Montgomery, Alabama.
  • D. MGM Home Entertainment
    MGM Home Entertainment is the home video distribution division of Metro-Goldwyn-Mayer, responsible for releasing the studio’s films and television content on formats such as DVD, Blu-ray, and digital platforms.
  • E. MGM Television
    MGM Television is a major American television production and distribution company known for creating and syndicating a wide range of scripted and unscripted programming under the Metro-Goldwyn-Mayer brand.
  • 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_69c008a68c508190a8d78245c865960e completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d8de56481909583104c70a52616 completed March 22, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141a947808190ac68e6f00858a573 completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:18 p.m.