Triple

T14244131
Position Surface form Disambiguated ID Type / Status
Subject Laura Petrie E353086 entity
Predicate screenPartner P46690 FINISHED
Object Sally Rogers E969277 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: Sally Rogers | Statement: [Laura Petrie, screenPartner, Sally Rogers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sally Rogers
Context triple: [Laura Petrie, screenPartner, Sally Rogers]
  • A. Sally Rogers chosen
    Sally Rogers is a quick-witted comedy writer and one of the central ensemble characters on the classic 1960s sitcom "The Dick Van Dyke Show."
  • B. Sally Elliott
    Sally Elliott is a fictional character featured in the 1942 musical film "My Gal Sal."
  • C. Sally Ellicott
    Sally Ellicott was the wife of U.S. Supreme Court Associate Justice Henry Baldwin and a member of the prominent Ellicott family.
  • D. Sally Crocker
    Sally Crocker is a notable individual who shares the Crocker surname, recognized enough to be specifically cited as a bearer of the name.
  • E. Sally Alexander
    Sally Alexander is a British feminist historian and academic known for her work on women's history and social movements.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6245d6a481909ef665748cd4d64c completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe5eeba08190849171d079745d1a completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 1:08 a.m.