Triple

T1810726
Position Surface form Disambiguated ID Type / Status
Subject Wincenty Witos E40324 entity
Predicate familyName P18 FINISHED
Object Witos
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
E204499 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: Witos | Statement: [Wincenty Witos, familyName, Witos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Witos
Context triple: [Wincenty Witos, familyName, Witos]
  • A. Wiktor
    Wiktor is a masculine given name, primarily used in Slavic countries, that corresponds to the name Victor.
  • B. Łuck
    Łuck is the Polish name for Lutsk, a historic city in western Ukraine known for its medieval castle and role as a regional cultural center.
  • C. Palicki
    Palicki is a surname most notably associated with American actress Adrianne Palicki, known for her roles in television and film.
  • D. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • E. Stanislaw
    Stanislaw is a masculine given name of Slavic origin, most notably borne by the Polish-American mathematician Stanislaw Ulam.
  • 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: Witos
Triple: [Wincenty Witos, familyName, Witos]
Generated description
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Witos
Target entity description: Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
  • A. Wiktor
    Wiktor is a masculine given name, primarily used in Slavic countries, that corresponds to the name Victor.
  • B. Łuck
    Łuck is the Polish name for Lutsk, a historic city in western Ukraine known for its medieval castle and role as a regional cultural center.
  • C. Palicki
    Palicki is a surname most notably associated with American actress Adrianne Palicki, known for her roles in television and film.
  • D. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • E. Stanislaw
    Stanislaw is a masculine given name of Slavic origin, most notably borne by the Polish-American mathematician Stanislaw Ulam.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c461e881908070cb80d9092981 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf5b1dbc8190a57430bf129173e4 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc0a3fdd88190b0ffa98db1b5cf80 completed March 8, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_69adc1304a808190a999e71dfa39162a completed March 8, 2026, 6:34 p.m.
Created at: March 4, 2026, 7:32 p.m.