Triple

T3250443
Position Surface form Disambiguated ID Type / Status
Subject Weiss E68163 entity
Predicate hasNotableBearer P458 FINISHED
Object Christian Weiss
Christian Weiss is a relatively obscure individual whose specific public notability is not clearly established from the given information.
E348418 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: Christian Weiss | Statement: [Weiss, hasNotableBearer, Christian Weiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian Weiss
Context triple: [Weiss, hasNotableBearer, Christian Weiss]
  • A. Andrew Weiss
    Andrew Weiss is a notable individual whose specific prominence or field of recognition is not clearly identifiable from the given information alone.
  • B. Christopher Scholz
    Christopher Scholz is a prominent geophysicist renowned for his influential work on the mechanics of earthquakes and faulting.
  • C. Christian Leumann
    Christian Leumann is a Swiss chemist and academic leader who serves as the rector of the University of Bern.
  • D. Michael Philipp Boumann
    Michael Philipp Boumann was a German architect best known for his work on prominent Prussian buildings in the late 18th and early 19th centuries.
  • E. Max Sollmann
    Max Sollmann was a Nazi official who served as a defendant in the post-World War II RuSHA Trial for his involvement in racial and resettlement policies of the SS.
  • 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: Christian Weiss
Triple: [Weiss, hasNotableBearer, Christian Weiss]
Generated description
Christian Weiss is a relatively obscure individual whose specific public notability is not clearly established from the given information.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Christian Weiss
Target entity description: Christian Weiss is a relatively obscure individual whose specific public notability is not clearly established from the given information.
  • A. Andrew Weiss
    Andrew Weiss is a notable individual whose specific prominence or field of recognition is not clearly identifiable from the given information alone.
  • B. Christopher Scholz
    Christopher Scholz is a prominent geophysicist renowned for his influential work on the mechanics of earthquakes and faulting.
  • C. Christian Leumann
    Christian Leumann is a Swiss chemist and academic leader who serves as the rector of the University of Bern.
  • D. Michael Philipp Boumann
    Michael Philipp Boumann was a German architect best known for his work on prominent Prussian buildings in the late 18th and early 19th centuries.
  • E. Max Sollmann
    Max Sollmann was a Nazi official who served as a defendant in the post-World War II RuSHA Trial for his involvement in racial and resettlement policies of the SS.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf40f7908190a450c3136fccb020 completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a67d0a08190853699b0aa39b359 completed March 12, 2026, 7:56 p.m.
NEDg Description generation batch_69b31c33fc3c8190b5af3f38206736de completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31c9f48788190bdf4b4ce47e1e5b5 completed March 12, 2026, 8:05 p.m.
Created at: March 8, 2026, 3:09 p.m.