Triple

T8761128
Position Surface form Disambiguated ID Type / Status
Subject Amon Göth E208199 entity
Predicate deathSentence P20881 FINISHED
Object 1946 LITERAL 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: 1946 | Statement: [Amon Göth, deathSentence, 1946]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: deathSentence
Context triple: [Amon Göth, deathSentence, 1946]
  • A. deathPenaltyImposedFor
    Indicates that a death penalty has been officially assigned as the punishment for a particular offense or action.
  • B. numberSentencedToDeath
    Indicates the number of individuals who have been formally sentenced to receive the death penalty.
  • C. timeOfCondemnation
    Indicates the specific time at which a condemnation (such as a legal judgment or formal denunciation) occurs or is issued.
  • D. deathPeninsula
    Indicates a relationship where a death occurs on, near, or in association with a specific peninsula.
  • E. sentencedTo chosen
    Indicates that an authority has officially assigned a specific punishment or penalty to an entity, typically as the outcome of a legal or disciplinary process.
  • F. None of above.

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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5df9729481908679151988b76d2f completed March 31, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69cc5c1884bc8190a46e8308db31f7ab completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:40 p.m.