Triple

T22791932
Position Surface form Disambiguated ID Type / Status
Subject Drell–Hearn–Gerasimov sum rule E564133 entity
Predicate namedAfter P63 FINISHED
Object Sergei B. Gerasimov
Sergei B. Gerasimov was a Soviet theoretical physicist best known for co-formulating the Drell–Hearn–Gerasimov sum rule in quantum field theory and particle physics.
E2050717 NE FINISHED

How this triple was built (2 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: Sergei B. Gerasimov | Statement: [Drell–Hearn–Gerasimov sum rule, namedAfter, Sergei B. Gerasimov]
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: Sergei B. Gerasimov
Triple: [Drell–Hearn–Gerasimov sum rule, namedAfter, Sergei B. Gerasimov]
Generated description
Sergei B. Gerasimov was a Soviet theoretical physicist best known for co-formulating the Drell–Hearn–Gerasimov sum rule in quantum field theory and particle physics.

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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cd5778c81909a18317ff98e341c completed April 29, 2026, 3:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35812c24e8819080bfd65027a52b88 completed June 19, 2026, 5:49 p.m.
NEDg Description generation batch_6a35820972dc81908d3854fd2eae1288 completed June 19, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_6a35828addb4819094e945cfbf65b72a completed June 19, 2026, 5:55 p.m.
Created at: April 17, 2026, 3:30 p.m.