Triple

T20921665
Position Surface form Disambiguated ID Type / Status
Subject Antony Blinken E515222 entity
Predicate hasRelative P367 FINISHED
Object Samuel Pisar — NE NERFINISHED

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: Samuel Pisar | Statement: [Antony Blinken, hasRelative, Samuel Pisar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Samuel Pisar
Context triple: [Antony Blinken, hasRelative, Samuel Pisar]
  • A. Štefan Moyses
    Štefan Moyses was a prominent 19th-century Slovak Catholic bishop and national revivalist who played a key role in promoting Slovak culture, education, and national identity.
  • B. Paul Tabori
    Paul Tabori was a Hungarian-British writer, journalist, and screenwriter known for his work in mid-20th-century film and literature, often exploring psychological and speculative themes.
  • C. Paul Varjak
    Paul Varjak is a struggling writer and Holly Golightly’s neighbor and love interest in Truman Capote’s novella and the film adaptation "Breakfast at Tiffany’s."
  • D. Edward Vajda
    Edward Vajda is a linguist known for proposing the Dené–Yeniseian language family hypothesis linking North American Na-Dené languages with Siberia’s Yeniseian languages.
  • E. Viktor Kaplan
    Viktor Kaplan was an Austrian engineer best known for inventing the Kaplan turbine, a highly efficient water turbine widely used in hydroelectric power plants.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Samuel Pisar
Target entity description: Samuel Pisar was a Polish-born Holocaust survivor, international lawyer, and author known for his influential work in human rights and international economic law.
  • A. Štefan Moyses
    Štefan Moyses was a prominent 19th-century Slovak Catholic bishop and national revivalist who played a key role in promoting Slovak culture, education, and national identity.
  • B. Paul Tabori
    Paul Tabori was a Hungarian-British writer, journalist, and screenwriter known for his work in mid-20th-century film and literature, often exploring psychological and speculative themes.
  • C. Paul Varjak
    Paul Varjak is a struggling writer and Holly Golightly’s neighbor and love interest in Truman Capote’s novella and the film adaptation "Breakfast at Tiffany’s."
  • D. Edward Vajda
    Edward Vajda is a linguist known for proposing the Dené–Yeniseian language family hypothesis linking North American Na-Dené languages with Siberia’s Yeniseian languages.
  • E. Viktor Kaplan
    Viktor Kaplan was an Austrian engineer best known for inventing the Kaplan turbine, a highly efficient water turbine widely used in hydroelectric power plants.
  • F. None of above. chosen

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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f64e56bc81908aa86f2176fcc0db completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 12:48 p.m.