Triple

T20683795
Position Surface form Disambiguated ID Type / Status
Subject Morton Deutsch E508362 entity
Predicate familyName P18 FINISHED
Object Deutsch 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: Deutsch | Statement: [Morton Deutsch, familyName, Deutsch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deutsch
Context triple: [Morton Deutsch, familyName, Deutsch]
  • A. Deutsch chosen
    Deutsch is a surname of German origin borne by numerous individuals across various fields, including arts, sciences, and public life.
  • B. Deutsche
    Deutsche is a German term meaning "German," commonly used in the names of German institutions, companies, and cultural entities.
  • C. German
    German refers to a person belonging to the ethnic group native to Germany, typically associated with the German language and culture.
  • D. German
    German is a West Germanic language widely spoken in Central Europe and used as an official language in several countries, including Germany, Austria, Switzerland, and Luxembourg.
  • E. Deutch
    Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6beaae5608190ac8cc64aa4717d53 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:45 a.m.