Triple

T23220530
Position Surface form Disambiguated ID Type / Status
Subject Edyth Susie Herbst E580877 entity
Predicate hasMiddleName P143 FINISHED
Object Susie 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: Susie | Statement: [Edyth Susie Herbst, hasMiddleName, Susie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susie
Context triple: [Edyth Susie Herbst, hasMiddleName, Susie]
  • A. Susie
    Susie is a recurring character from the animated television series "Family Guy," known as the infant daughter of Joe and Bonnie Swanson.
  • B. Susie chosen
    Susie is a common diminutive or nickname for the female given name Susanna.
  • C. Susie
    Susie is a person whose full name is Susie Fairfield Dryden.
  • D. Susie
    Susie is a recurring antagonist-turned-ally in the Kirby series, known as the stylish, businesslike secretary of the Haltmann Works Company who debuts in Kirby: Planet Robobot.
  • E. Suzie
    Suzie is a brilliant, tech-savvy girl from Stranger Things who helps Dustin Henderson and his friends by providing crucial scientific and hacking assistance.
  • 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1916870148190853874e6cf26bbc7 completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:08 p.m.