Triple

T10205685
Position Surface form Disambiguated ID Type / Status
Subject Oscar Mayer E242186 entity
Predicate foundedCompanyWith P3263 FINISHED
Object Max Mayer E849671 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: Max Mayer | Statement: [Oscar Mayer, foundedCompanyWith, Max Mayer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Mayer
Context triple: [Oscar Mayer, foundedCompanyWith, Max Mayer]
  • A. Max Mayer chosen
    Max Mayer is a member of the Mayer family associated with the Oscar Mayer meat and cold cut brand.
  • B. Samuel Goldwyn
    Samuel Goldwyn was a pioneering American film producer and studio executive who played a key role in shaping Hollywood’s early motion picture industry.
  • C. Louis B. Mayer
    Louis B. Mayer was a powerful Hollywood film producer and studio executive who co-founded Metro-Goldwyn-Mayer (MGM) and became one of the most influential figures of the studio era.
  • D. Daniel Selznick
    Daniel Selznick is an American film and television producer, known for his work in the mid-to-late 20th century and as part of the prominent Selznick entertainment family.
  • E. Samuel Goldwyn Jr.
    Samuel Goldwyn Jr. was an American film producer and son of legendary mogul Samuel Goldwyn, known for championing independent and quality cinema through films like "The Preacher's Wife" and for founding The Samuel Goldwyn Company.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d395f6298c8190a4a0ad9770f10e80 completed April 6, 2026, 11:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6a7e63c588190b239f8bdb13a3f3c completed April 8, 2026, 7:09 p.m.
Created at: April 6, 2026, 10:47 a.m.