Triple

T8995320
Position Surface form Disambiguated ID Type / Status
Subject Adrienne Fazan E214888 entity
Predicate notableEmployer P20563 FINISHED
Object MGM 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 | Statement: [Adrienne Fazan, notableEmployer, MGM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MGM
Context triple: [Adrienne Fazan, notableEmployer, MGM]
  • 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 Holdings
    MGM Holdings is the parent company that owns and oversees Metro-Goldwyn-Mayer’s entertainment assets and operations.
  • E. 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.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68ddff288190869731df2c178ff6 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0d0e6a08190a2faf4157b8a9cd4 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:04 p.m.