Triple

T23315934
Position Surface form Disambiguated ID Type / Status
Subject Alexander Gerschenkron E590705 entity
Predicate familyName P18 FINISHED
Object Gerschenkron 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: Gerschenkron | Statement: [Alexander Gerschenkron, familyName, Gerschenkron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerschenkron
Context triple: [Alexander Gerschenkron, familyName, Gerschenkron]
  • A. Schorske
    Schorske is the surname of Carl Schorske, a prominent American cultural and intellectual historian known for his work on fin-de-siècle Vienna.
  • B. Alexander Gerschenkron chosen
    Alexander Gerschenkron was a 20th-century economic historian best known for his theory of economic backwardness and his influential analyses of industrialization and late development in Europe.
  • C. Spengler
    Spengler is a German-origin surname most famously associated with cultural philosopher Oswald Spengler and the fictional Ghostbusters scientist Egon Spengler.
  • D. Ussishkin
    Ussishkin is a Jewish family name most prominently associated with Zionist leader Menachem Ussishkin.
  • E. Pomeranz
    Pomeranz is a surname most notably associated with Australian film critic and television personality Margaret Pomeranz.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197816024819086c547ba89f84286 completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:06 p.m.