Triple

T19759124
Position Surface form Disambiguated ID Type / Status
Subject Sergeant J.J. Sefton E474579 entity
Predicate playAuthors P66138 FINISHED
Object Edmund Trzcinski 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: Edmund Trzcinski | Statement: [Sergeant J.J. Sefton, playAuthors, Edmund Trzcinski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edmund Trzcinski
Context triple: [Sergeant J.J. Sefton, playAuthors, Edmund Trzcinski]
  • A. Edmund Trzcinski chosen
    Edmund Trzcinski was an American playwright and actor best known as the co-writer and a performer in the World War II prisoner-of-war drama "Stalag 17."
  • B. Ignacy Witczak
    Ignacy Witczak was a Soviet intelligence officer who operated undercover as a diplomat in the United States during World War II.
  • C. Henryk Sucharski
    Henryk Sucharski was a Polish military officer best known for commanding the heroic defense of the Westerplatte peninsula during the opening days of World War II.
  • D. Stanislaw Zylewicz
    Stanislaw Zylewicz is a Polish film producer best known for his work on Roman Polanski’s acclaimed 1962 psychological drama "Knife in the Water."
  • E. Emeryk Hutten-Czapski
    Emeryk Hutten-Czapski was a Polish nobleman and renowned 19th-century numismatist whose extensive coin collection became the foundation of the museum that bears his name.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6531e79fc819094a9f88182e90dab completed April 20, 2026, 4:23 p.m.
Created at: April 10, 2026, 1:48 p.m.