Triple

T21032882
Position Surface form Disambiguated ID Type / Status
Subject Hirsch Apfelbaum E518109 entity
Predicate givenName P17 FINISHED
Object Hirsch 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: Hirsch | Statement: [Hirsch Apfelbaum, givenName, Hirsch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hirsch
Context triple: [Hirsch Apfelbaum, givenName, Hirsch]
  • 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. Hirschberg
    Hirschberg is a hill in Germany’s Siebengebirge range, known for its forested slopes and hiking trails within this volcanic low-mountain landscape.
  • D. Hirschberg
    Hirschberg is the former German name for the city now known as Jelenia Góra in southwestern Poland, a historic town in the Lower Silesia region.
  • E. Heinrichs
    Heinrichs is a German-origin surname borne by various notable individuals, including Finnish general Erik Heinrichs.
  • 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc83828c81909c1ec745c0313c9f completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:56 p.m.