Triple

T13609421
Position Surface form Disambiguated ID Type / Status
Subject Shy Baldwin E325147 entity
Predicate associatedWith P37 FINISHED
Object Susie Myerson E213611 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: Susie Myerson | Statement: [Shy Baldwin, associatedWith, Susie Myerson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susie Myerson
Context triple: [Shy Baldwin, associatedWith, Susie Myerson]
  • A. Susie Myerson chosen
    Susie Myerson is a tough, sharp-tongued talent manager and key supporting character on the television series "The Marvelous Mrs. Maisel."
  • B. Susie Lewis
    Susie Lewis is an animator and producer best known for her work on the MTV animated series "Daria."
  • C. Susie Hennessy
    Susie Hennessy is the child of Tamar Teresa Day Hennessy, a member of the Hennessy family.
  • D. Susie Moss
    Susie Moss is best known as the wife of legendary British racing driver Sir Stirling Moss and a prominent figure in the motor racing community.
  • E. Susie Carmichael
    Susie Carmichael is a kind, confident, and intelligent young girl in the Rugrats animated series, often serving as a supportive friend and moral counterpoint to Angelica.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07f462c8190b5b5e115d550037f completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bad771881908280e3d96be068fc completed May 8, 2026, 3:42 a.m.
Created at: April 9, 2026, 9:50 p.m.