Triple

T14155705
Position Surface form Disambiguated ID Type / Status
Subject Postum Cereal Company E350809 entity
Predicate product P490 FINISHED
Object Postum E1083987 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: Postum | Statement: [Postum Cereal Company, product, Postum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Postum
Context triple: [Postum Cereal Company, product, Postum]
  • A. Postum chosen
    Postum is a caffeine-free roasted grain beverage developed in the late 19th century as a coffee substitute and marketed as a healthier alternative.
  • B. Kofy
    Kofy is a variant spelling of the given name Kofi, commonly used in some personal or brand contexts.
  • C. Sanka Coffie
    Sanka Coffie is the laid-back, humorous pushcart driver and brakeman who provides comic relief and heart in the Jamaican bobsled team in the film "Cool Runnings."
  • D. Crema
    Crema is a historic town in the Lombardy region of northern Italy, known for its medieval architecture and cultural heritage.
  • E. The Tea
    The Tea is an 1880 oil painting by American Impressionist Mary Cassatt that depicts two women in a refined domestic interior, exemplifying her focus on the private lives of women.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6135744c81909a43d659f5fe2895 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193b72f48190b80ac30d32ab8349 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 12:58 a.m.