Triple

T33578820
Position Surface form Disambiguated ID Type / Status
Subject Künneth formula E860097 entity
Predicate namedAfter P63 FINISHED
Object Hermann Künneth
Hermann Künneth was a German mathematician best known for his contributions to algebraic topology, particularly the formulation of the Künneth theorem relating the homology of product spaces to that of their factors.
E2061616 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: Hermann Künneth | Statement: [Künneth formula, namedAfter, Hermann Künneth]
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: Hermann Künneth
Triple: [Künneth formula, namedAfter, Hermann Künneth]
Generated description
Hermann Künneth was a German mathematician best known for his contributions to algebraic topology, particularly the formulation of the Künneth theorem relating the homology of product spaces to that of their factors.

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_69f3497d37848190afcbb5ef3f5c7376 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f76e085c81909d71d6f47853cd12 completed May 3, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36270c53f48190aa1b8290e7bd9465 completed June 20, 2026, 5:37 a.m.
NEDg Description generation batch_6a3628077de08190af490293002fb49d completed June 20, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_6a36290731fc81909c4103917af094bb completed June 20, 2026, 5:45 a.m.
Created at: May 1, 2026, 1:40 a.m.