Triple

T2148188
Position Surface form Disambiguated ID Type / Status
Subject Aleksander Zawisza E47116 entity
Predicate familyName P18 FINISHED
Object Zawisza
Zawisza is a Polish surname historically associated with several notable figures, including nobles, politicians, and cultural personalities.
E242811 NE FINISHED

How this triple was built (4 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: Zawisza | Statement: [Aleksander Zawisza, familyName, Zawisza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zawisza
Context triple: [Aleksander Zawisza, familyName, Zawisza]
  • A. Jan Szczepański
    Jan Szczepański was a Polish mountaineer known for participating in pioneering high-altitude ascents in the Andes.
  • B. Tadeusz
    Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
  • C. Wincenty
    Wincenty is a masculine given name of Slavic origin, particularly common in Poland.
  • D. Żymierski
    Żymierski is a Polish surname most notably associated with Michał Rola-Żymierski, a high-ranking military commander and communist-era Marshal of Poland.
  • E. Zbigniew
    Zbigniew is a masculine Slavic given name, particularly common in Poland.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zawisza
Triple: [Aleksander Zawisza, familyName, Zawisza]
Generated description
Zawisza is a Polish surname historically associated with several notable figures, including nobles, politicians, and cultural personalities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zawisza
Target entity description: Zawisza is a Polish surname historically associated with several notable figures, including nobles, politicians, and cultural personalities.
  • A. Jan Szczepański
    Jan Szczepański was a Polish mountaineer known for participating in pioneering high-altitude ascents in the Andes.
  • B. Tadeusz
    Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
  • C. Wincenty
    Wincenty is a masculine given name of Slavic origin, particularly common in Poland.
  • D. Żymierski
    Żymierski is a Polish surname most notably associated with Michał Rola-Żymierski, a high-ranking military commander and communist-era Marshal of Poland.
  • E. Zbigniew
    Zbigniew is a masculine Slavic given name, particularly common in Poland.
  • F. None of above. chosen

Provenance (5 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe271adc8190888c9086e9b8cc0c completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d92391c8190a11f96796507a8d3 completed March 9, 2026, 5:41 a.m.
NEDg Description generation batch_69ae5e5f023081909cd046b5850f8026 completed March 9, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ef99018819083a778378ea493e8 completed March 9, 2026, 5:47 a.m.
Created at: March 4, 2026, 7:44 p.m.