Triple

T20197056
Position Surface form Disambiguated ID Type / Status
Subject Amadeus I, Count of Savoy E493112 entity
Predicate child P120 FINISHED
Object Otto 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: Otto | Statement: [Amadeus I, Count of Savoy, child, Otto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otto
Context triple: [Amadeus I, Count of Savoy, child, 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. Otto
    Otto is one of the official mascots created for the 2002 Winter Olympics held in Salt Lake City.
  • E. Otto
    Otto was a lesser-known medieval Polish prince from the Piast dynasty, notable mainly as a younger son of Duke Casimir I the Restorer.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad99d50819090ddb7b546c65321 completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:37 p.m.