Triple

T16860133
Position Surface form Disambiguated ID Type / Status
Subject Charles S. Peskin E409888 entity
Predicate familyName P18 FINISHED
Object Peskin
Peskin is a surname most notably associated with Charles S. Peskin, an American mathematician known for his work in computational biology and fluid dynamics.
 E1235914 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: Peskin | Statement: [Charles S. Peskin, familyName, Peskin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peskin
Context triple: [Charles S. Peskin, familyName, Peskin]
  • A. Guralnik
    Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
  • B. Weinberg
    Weinberg is a surname most prominently associated with Steven Weinberg, the Nobel Prize–winning theoretical physicist known for his work on the unification of fundamental forces.
  • C. Polyakov
    Polyakov is a common Russian surname borne by numerous notable figures in fields such as physics, mathematics, politics, and the arts.
  • D. Sakurai
    Sakurai is a historic city in Japan’s Nara Prefecture, known for its ancient temples and role in early Japanese history.
  • E. Pessin
    Pessin is a small municipality in the Havelland district of the German federal state of Brandenburg.
  • 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: Peskin
Triple: [Charles S. Peskin, familyName, Peskin]
Generated description
Peskin is a surname most notably associated with Charles S. Peskin, an American mathematician known for his work in computational biology and fluid dynamics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peskin
Target entity description: Peskin is a surname most notably associated with Charles S. Peskin, an American mathematician known for his work in computational biology and fluid dynamics.
  • A. Guralnik
    Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
  • B. Weinberg
    Weinberg is a surname most prominently associated with Steven Weinberg, the Nobel Prize–winning theoretical physicist known for his work on the unification of fundamental forces.
  • C. Polyakov
    Polyakov is a common Russian surname borne by numerous notable figures in fields such as physics, mathematics, politics, and the arts.
  • D. Sakurai
    Sakurai is a historic city in Japan’s Nara Prefecture, known for its ancient temples and role in early Japanese history.
  • E. Pessin
    Pessin is a small municipality in the Havelland district of the German federal state of Brandenburg.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b502bc048190baa5a83015407080 completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb274ba48190951acde0821e05a0 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bb8a6a288190ae442b2e6f021def completed May 10, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc27a1648190b2987c8dd9afc249 completed May 10, 2026, 5:11 p.m.
Created at: April 10, 2026, 5:24 a.m.