Triple

T188816
Position Surface form Disambiguated ID Type / Status
Subject Pierre E3672 entity
Predicate cognateWith P2525 FINISHED
Object Piotr
Piotr is the Polish form of the given name Peter, commonly used in Poland and among Polish-speaking communities.
E23979 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: Piotr | Statement: [Pierre, cognateWith, Piotr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piotr
Context triple: [Pierre, cognateWith, Piotr]
  • A. Piotr Nowak
    Piotr Nowak is a retired Polish attacking midfielder and coach best known for his influential role in Major League Soccer, particularly with the Chicago Fire.
  • B. Jan Szczepański
    Jan Szczepański was a Polish mountaineer known for participating in pioneering high-altitude ascents in the Andes.
  • C. Wojciech Zaremba
    Wojciech Zaremba is a Polish computer scientist and entrepreneur known for co-founding OpenAI and contributing to advances in artificial intelligence research.
  • D. Michal
    Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
  • E. Tadeusz Rozwadowski
    Tadeusz Rozwadowski was a Polish general and military strategist best known for his key role in shaping and directing Polish forces during the early 20th century, including the struggle to secure Poland’s independence.
  • 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: Piotr
Triple: [Pierre, cognateWith, Piotr]
Generated description
Piotr is the Polish form of the given name Peter, commonly used in Poland and among Polish-speaking communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Piotr
Target entity description: Piotr is the Polish form of the given name Peter, commonly used in Poland and among Polish-speaking communities.
  • A. Piotr Nowak
    Piotr Nowak is a retired Polish attacking midfielder and coach best known for his influential role in Major League Soccer, particularly with the Chicago Fire.
  • B. Jan Szczepański
    Jan Szczepański was a Polish mountaineer known for participating in pioneering high-altitude ascents in the Andes.
  • C. Wojciech Zaremba
    Wojciech Zaremba is a Polish computer scientist and entrepreneur known for co-founding OpenAI and contributing to advances in artificial intelligence research.
  • D. Michal
    Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
  • E. Tadeusz Rozwadowski
    Tadeusz Rozwadowski was a Polish general and military strategist best known for his key role in shaping and directing Polish forces during the early 20th century, including the struggle to secure Poland’s independence.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a25bc834388190a93ec1ab0d5946de completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a305e511a08190a560125ed3839a0c completed Feb. 28, 2026, 3:12 p.m.
NEDg Description generation batch_69a30679b0648190975dcfaf4f9846bf completed Feb. 28, 2026, 3:15 p.m.
NED2 Entity disambiguation (via description) batch_69a306e6ce6c8190a77d42643914b03a completed Feb. 28, 2026, 3:16 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.