Triple

T11401166
Position Surface form Disambiguated ID Type / Status
Subject Paul J. Pelz E270111 entity
Predicate familyName P18 FINISHED
Object Pelz
Pelz is a German-language surname borne by various notable individuals in fields such as architecture, sports, and academia.
E923745 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: Pelz | Statement: [Paul J. Pelz, familyName, Pelz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pelz
Context triple: [Paul J. Pelz, familyName, Pelz]
  • A. Pelt
    Pelt is a municipality in the Belgian province of Limburg, formed by the merger of Neerpelt and Overpelt and known for its green landscapes and residential character.
  • B. Poldi
    Poldi is a common German diminutive nickname for the given name Leopold.
  • C. Bulzi
    Bulzi is a small town and comune in the province of Sassari on the Italian island of Sardinia.
  • D. Preyer
    Preyer is a surname of German origin borne by various notable individuals in fields such as politics, science, and the arts.
  • E. Pölsan
    Pölsan is a novel by Swedish author Torgny Lindgren that blends dark humor and philosophical reflection in a postwar rural setting.
  • 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: Pelz
Triple: [Paul J. Pelz, familyName, Pelz]
Generated description
Pelz is a German-language surname borne by various notable individuals in fields such as architecture, sports, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pelz
Target entity description: Pelz is a German-language surname borne by various notable individuals in fields such as architecture, sports, and academia.
  • A. Pelt
    Pelt is a municipality in the Belgian province of Limburg, formed by the merger of Neerpelt and Overpelt and known for its green landscapes and residential character.
  • B. Poldi
    Poldi is a common German diminutive nickname for the given name Leopold.
  • C. Bulzi
    Bulzi is a small town and comune in the province of Sassari on the Italian island of Sardinia.
  • D. Preyer
    Preyer is a surname of German origin borne by various notable individuals in fields such as politics, science, and the arts.
  • E. Pölsan
    Pölsan is a novel by Swedish author Torgny Lindgren that blends dark humor and philosophical reflection in a postwar rural setting.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80148e2048190a716b515d78efdd1 completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58cf75ec08190a571e5178bcde274 completed April 20, 2026, 2:18 a.m.
NEDg Description generation batch_69e59777b1208190a33a50da286535ee completed April 20, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_69e5a3cf9d388190944340af484b3a54 completed April 20, 2026, 3:55 a.m.
Created at: April 8, 2026, 9:34 p.m.