Triple

T20701809
Position Surface form Disambiguated ID Type / Status
Subject Hirsch E508802 entity
Predicate hasVariant P455 FINISHED
Object Hirsh 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: Hirsh | Statement: [Hirsch, hasVariant, Hirsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hirsh
Context triple: [Hirsch, hasVariant, Hirsh]
  • A. Hirsch chosen
    Hirsch is a surname of German and Ashkenazi Jewish origin, meaning "deer," borne by various notable individuals across fields such as acting, science, and politics.
  • B. Hirschhorn
    Hirschhorn is a German-language surname borne by various notable individuals, including contemporary Swiss artist Thomas Hirschhorn.
  • C. Hirzer
    Hirzer is a prominent mountain peak in the Sarntal Alps of South Tyrol, Italy, known for its panoramic hiking routes and scenic alpine views.
  • D. Hirzel
    Hirzel is a small Swiss village in the canton of Zurich, known as the birthplace of "Heidi" author Johanna Spyri.
  • E. Herskovitz
    Herskovitz is the surname of American television and film producer, director, and screenwriter Marshall Herskovitz, known for works like "thirtysomething" and "The Last Samurai."
  • 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c18bfac08190bf80beeb3ce1951a completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:12 p.m.