Triple

T5583612
Position Surface form Disambiguated ID Type / Status
Subject Otto Klemperer E146698 entity
Predicate givenName P17 FINISHED
Object Otto E134445 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: Otto | Statement: [Otto Klemperer, givenName, Otto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otto
Context triple: [Otto Klemperer, givenName, Otto]
  • A. Otto
    Otto is the title of one of the early nominative reports that were later incorporated into the official United States Reports, documenting decisions of the U.S. Supreme Court.
  • B. Otto
    Otto is the central German soldier protagonist in the 1993 war film "Stalingrad," whose experiences depict the brutality and futility of the Eastern Front in World War II.
  • C. Otto chosen
    Otto is a given name of Germanic origin commonly used across various European countries.
  • D. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • E. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02084b5f0819089b62283c57704ec completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a13e3a84819087636d32f0a66491 completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:37 p.m.