Triple

T7450476
Position Surface form Disambiguated ID Type / Status
Subject HOMFLY-PT polynomial E171994 entity
Predicate namedAfter P63 FINISHED
Object Przytycki
Przytycki is a mathematician known for significant contributions to knot theory and low-dimensional topology, including work related to the HOMFLY-PT polynomial.
 E665088 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: Przytycki | Statement: [HOMFLY-PT polynomial, namedAfter, Przytycki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Przytycki
Context triple: [HOMFLY-PT polynomial, namedAfter, Przytycki]
  • A. Czarniecki
    Czarniecki refers to Stefan Czarniecki, a 17th-century Polish military commander and national hero celebrated for his role in defending the Polish–Lithuanian Commonwealth, notably during the Swedish Deluge.
  • B. Korzeniowski
    Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
  • C. Lopatynski
    Lopatynski is the original Polish family name of Eddie Lopat, a notable Major League Baseball pitcher and later coach.
  • D. Tadeusz
    Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
  • E. Zawisza
    Zawisza is a Polish surname historically associated with several notable figures, including nobles, politicians, and cultural personalities.
  • 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: Przytycki
Triple: [HOMFLY-PT polynomial, namedAfter, Przytycki]
Generated description
Przytycki is a mathematician known for significant contributions to knot theory and low-dimensional topology, including work related to the HOMFLY-PT polynomial.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Przytycki
Target entity description: Przytycki is a mathematician known for significant contributions to knot theory and low-dimensional topology, including work related to the HOMFLY-PT polynomial.
  • A. Czarniecki
    Czarniecki refers to Stefan Czarniecki, a 17th-century Polish military commander and national hero celebrated for his role in defending the Polish–Lithuanian Commonwealth, notably during the Swedish Deluge.
  • B. Korzeniowski
    Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
  • C. Lopatynski
    Lopatynski is the original Polish family name of Eddie Lopat, a notable Major League Baseball pitcher and later coach.
  • D. Tadeusz
    Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
  • E. Zawisza
    Zawisza is a Polish surname historically associated with several notable figures, including nobles, politicians, and cultural personalities.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f38af3fc8190bc5c57ca89d976bc completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827b54a4881909f800bf37990a297 completed March 28, 2026, 7:10 p.m.
NEDg Description generation batch_69c828ca24bc81909357b9f40a9004af completed March 28, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69c8297c1de4819099acfac611a519e5 completed March 28, 2026, 7:18 p.m.
Created at: March 27, 2026, 3:14 p.m.