Triple

T2246400
Position Surface form Disambiguated ID Type / Status
Subject Count László de Almásy E49513 entity
Predicate receivesEuthanasiaFrom P2115 FINISHED
Object Hana E49602 NE FINISHED

How this triple was built (3 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: Hana | Statement: [Count László de Almásy, receivesEuthanasiaFrom, Hana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hana
Context triple: [Count László de Almásy, receivesEuthanasiaFrom, Hana]
  • A. Hana chosen
    Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
  • B. Hana
    Hana is a small, remote town on the eastern coast of Maui, Hawaii, known for its lush landscapes, waterfalls, and the scenic Road to Hana.
  • C. Haruko
    Haruko, better known as Empress Shōken, was the consort of Emperor Meiji and a prominent Japanese empress noted for her support of modernization and social welfare.
  • D. Hani
    The Hani are an ethnic minority group in China, primarily known for their terraced rice farming, distinctive traditional dress, and rich folk culture in the mountainous regions of Yunnan.
  • E. Yuriko
    Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: receivesEuthanasiaFrom
Context triple: [Count László de Almásy, receivesEuthanasiaFrom, Hana]
  • A. deathMethod
    Indicates the specific way or means by which a death occurred.
  • B. usedMethodOfKilling chosen
    Indicates that one entity employed a particular method or means to carry out a killing of another entity.
  • C. diesBy
    Indicates that one entity causes or is responsible for the death of another entity.
  • D. finalSinkingMethod
    Indicates the method or process ultimately used to sink or deliberately submerge an object, typically a vessel or structure.
  • E. killedBy
    Indicates that one entity caused the death of another entity.
  • F. None of above.

Provenance (4 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0ec46b08190ae12de8b255eb71d completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b147b388190a20a604cc176191f completed March 9, 2026, 6:39 a.m.
PD Predicate disambiguation batch_69abbdb160248190aa75b38f11ad8602 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:47 p.m.