Triple

T18400315
Position Surface form Disambiguated ID Type / Status
Subject The Grass Is Always Greener Over the Septic Tank E449975 entity
Predicate author P4 FINISHED
Object Erma Bombeck NE NERFINISHED

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: Erma Bombeck | Statement: [The Grass Is Always Greener Over the Septic Tank, author, Erma Bombeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erma Bombeck
Context triple: [The Grass Is Always Greener Over the Septic Tank, author, Erma Bombeck]
  • A. Erma Bombeck chosen
    Erma Bombeck was a popular American humorist and syndicated newspaper columnist known for her witty, relatable observations on suburban family life.
  • B. Erma Ferguson
    Erma Ferguson was the wife of renowned Canadian jazz trumpeter and bandleader Maynard Ferguson.
  • C. Sue Kaufman
    Sue Kaufman was an American novelist best known for her sharp, darkly comic portrayals of middle-class women's inner lives in mid-20th-century society.
  • D. Anne Frances Robbins
    Anne Frances Robbins, better known as Nancy Reagan, was an American actress and the First Lady of the United States from 1981 to 1989 as the wife of President Ronald Reagan.
  • E. Ann Lurie
    Ann Lurie is an American philanthropist and former nurse known for her major charitable contributions to education, medicine, and social services, including significant support for entrepreneurial studies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e5194f2a8c8190afcd7db23e3795fb completed April 19, 2026, 6:05 p.m.
Created at: April 10, 2026, 10:46 a.m.