Triple

T14176585
Position Surface form Disambiguated ID Type / Status
Subject Leszek I the White E351347 entity
Predicate nickname P55 FINISHED
Object the White
The White was the nickname of Leszek I, a 13th-century High Duke of Poland from the Piast dynasty known for his turbulent reign and conflicts over the Polish throne.
E1084519 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: the White | Statement: [Leszek I the White, nickname, the White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the White
Context triple: [Leszek I the White, nickname, the White]
  • A. Bianco
    Bianco is an Italian surname commonly associated with individuals of Italian heritage, including the artist Enrico Bianco.
  • B. Witte
    Witte is a surname most notably associated with Edwin E. Witte, an American economist often called the “father of Social Security” for his key role in shaping U.S. social welfare policy.
  • C. Blanc
    Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
  • D. White Esk
    White Esk is a river in Dumfries and Galloway, Scotland, that forms part of the headwaters of the River Esk.
  • E. The White One
    The White One is an epithet of Nekhbet, the ancient Egyptian vulture goddess who served as a protector of Upper Egypt and the pharaoh.
  • 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: the White
Triple: [Leszek I the White, nickname, the White]
Generated description
The White was the nickname of Leszek I, a 13th-century High Duke of Poland from the Piast dynasty known for his turbulent reign and conflicts over the Polish throne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: the White
Target entity description: The White was the nickname of Leszek I, a 13th-century High Duke of Poland from the Piast dynasty known for his turbulent reign and conflicts over the Polish throne.
  • A. Bianco
    Bianco is an Italian surname commonly associated with individuals of Italian heritage, including the artist Enrico Bianco.
  • B. Witte
    Witte is a surname most notably associated with Edwin E. Witte, an American economist often called the “father of Social Security” for his key role in shaping U.S. social welfare policy.
  • C. Blanc
    Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
  • D. White Esk
    White Esk is a river in Dumfries and Galloway, Scotland, that forms part of the headwaters of the River Esk.
  • E. The White One
    The White One is an epithet of Nekhbet, the ancient Egyptian vulture goddess who served as a protector of Upper Egypt and the pharaoh.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61c76e8081909994b95b631100e9 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf80cdae88190ae987b49218c281d completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd067e73708190adcb4e1c2fbf210d completed May 7, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_69fd0c5161dc8190a923c5b00dc5b53a completed May 7, 2026, 10:04 p.m.
Created at: April 10, 2026, 1:02 a.m.