Triple

T9468828
Position Surface form Disambiguated ID Type / Status
Subject Imi Knoebel E228340 entity
Predicate familyName P18 FINISHED
Object Knoebel
Knoebel is a German surname most notably associated with the contemporary abstract artist Imi Knoebel.
E800604 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: Knoebel | Statement: [Imi Knoebel, familyName, Knoebel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knoebel
Context triple: [Imi Knoebel, familyName, Knoebel]
  • A. Lovisenberg
    Lovisenberg is a residential neighborhood in Oslo, Norway, known for its central location and the presence of Lovisenberg Diaconal Hospital and related educational institutions.
  • B. Seelbach
    Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
  • C. Kurnitz
    Kurnitz is a surname most notably associated with American playwright and screenwriter Harry Kurnitz.
  • D. Timber Mountain
    Timber Mountain is a prominent forested summit in Southern California’s San Gabriel Mountains, popular with hikers for its scenic views and access via the Three T’s Trail.
  • E. Teteoinan
    Teteoinan is an Aztec mother goddess associated with the earth, fertility, and the creation of the gods.
  • 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: Knoebel
Triple: [Imi Knoebel, familyName, Knoebel]
Generated description
Knoebel is a German surname most notably associated with the contemporary abstract artist Imi Knoebel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Knoebel
Target entity description: Knoebel is a German surname most notably associated with the contemporary abstract artist Imi Knoebel.
  • A. Lovisenberg
    Lovisenberg is a residential neighborhood in Oslo, Norway, known for its central location and the presence of Lovisenberg Diaconal Hospital and related educational institutions.
  • B. Seelbach
    Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
  • C. Kurnitz
    Kurnitz is a surname most notably associated with American playwright and screenwriter Harry Kurnitz.
  • D. Timber Mountain
    Timber Mountain is a prominent forested summit in Southern California’s San Gabriel Mountains, popular with hikers for its scenic views and access via the Three T’s Trail.
  • E. Teteoinan
    Teteoinan is an Aztec mother goddess associated with the earth, fertility, and the creation of the gods.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fdf604481909bf7d7d477230ca3 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122c45ae88190a43d70300bed98da completed April 4, 2026, 2:40 p.m.
NEDg Description generation batch_69d1240e67988190bc16da2c9087775d completed April 4, 2026, 2:45 p.m.
NED2 Entity disambiguation (via description) batch_69d1246979d88190890e2ccf0fdf63cf completed April 4, 2026, 2:47 p.m.
Created at: March 30, 2026, 7:53 p.m.