Triple

T16284745
Position Surface form Disambiguated ID Type / Status
Subject Schorske E395360 entity
Predicate writtenForm P2203 FINISHED
Object Schorske E395360 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: Schorske | Statement: [Schorske, writtenForm, Schorske]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schorske
Context triple: [Schorske, writtenForm, Schorske]
  • A. Schorske chosen
    Schorske is the surname of Carl Schorske, a prominent American cultural and intellectual historian known for his work on fin-de-siècle Vienna.
  • B. Ussishkin
    Ussishkin is a Jewish family name most prominently associated with Zionist leader Menachem Ussishkin.
  • C. Pomeranz
    Pomeranz is a surname most notably associated with Australian film critic and television personality Margaret Pomeranz.
  • D. Nolte
    Nolte is a surname most prominently associated with American actor Nick Nolte, known for his intense performances in film and television.
  • E. Herzfeld
    Herzfeld is a German-language surname borne by various notable figures in fields such as archaeology, physics, and the arts.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24913a55081909a9a5a7a7f4806cc completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c8f51c8190b73cdf2834eda57f completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.