Triple

T4697346
Position Surface form Disambiguated ID Type / Status
Subject Standing in the Rainbow E104181 entity
Predicate author P4 FINISHED
Object Fannie Flagg E18969 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: Fannie Flagg | Statement: [Standing in the Rainbow, author, Fannie Flagg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fannie Flagg
Context triple: [Standing in the Rainbow, author, Fannie Flagg]
  • A. Fannie Flagg chosen
    Fannie Flagg is an American author, actress, and comedian best known for her novel "Fried Green Tomatoes at the Whistle Stop Cafe," which was adapted into the popular film "Fried Green Tomatoes."
  • B. Lee Smith
    Lee Smith is an acclaimed Australian film editor known for his work on major films such as Christopher Nolan’s The Dark Knight trilogy and Dunkirk.
  • C. 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.
  • D. Francine Rivers
    Francine Rivers is a bestselling American author known for her inspirational Christian fiction novels, particularly "Redeeming Love."
  • E. Beverley Shaffer
    Beverley Shaffer is a Canadian filmmaker best known for her work on socially conscious documentaries and short films, including the Oscar-winning short documentary "I'll Find a Way."
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63b4489c8190a3c30a8a70fcb67e completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea45f6f2481909ee7b88524fbd59e completed March 21, 2026, 1:59 p.m.
Created at: March 20, 2026, 1:17 p.m.