Triple

T1234001
Position Surface form Disambiguated ID Type / Status
Subject Franz Eckert E26506 entity
Predicate familyName P18 FINISHED
Object Eckert
Eckert is a German-language surname borne by various notable individuals across fields such as music, science, and politics.
E141088 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: Eckert | Statement: [Franz Eckert, familyName, Eckert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eckert
Context triple: [Franz Eckert, familyName, Eckert]
  • A. Kretschmann
    Kretschmann is a German surname most prominently associated with actor Thomas Kretschmann, known for his roles in international film and television.
  • B. Oberholtzer
    Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
  • C. Guth
    Guth is the surname of Alan Guth, an American theoretical physicist best known for proposing the theory of cosmic inflation in the early universe.
  • D. Gilbert
    Gilbert is a masculine given name of Norman-French origin that has been borne by various notable figures, including philosophers, writers, and entertainers.
  • E. Gilbert
    Gilbert is a rapidly growing suburban town in the southeastern Phoenix metropolitan area known for its family-friendly communities and high quality of life.
  • 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: Eckert
Triple: [Franz Eckert, familyName, Eckert]
Generated description
Eckert is a German-language surname borne by various notable individuals across fields such as music, science, and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eckert
Target entity description: Eckert is a German-language surname borne by various notable individuals across fields such as music, science, and politics.
  • A. Kretschmann
    Kretschmann is a German surname most prominently associated with actor Thomas Kretschmann, known for his roles in international film and television.
  • B. Oberholtzer
    Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
  • C. Guth
    Guth is the surname of Alan Guth, an American theoretical physicist best known for proposing the theory of cosmic inflation in the early universe.
  • D. Gilbert
    Gilbert is a rapidly growing suburban town in the southeastern Phoenix metropolitan area known for its family-friendly communities and high quality of life.
  • E. Gilbert
    Gilbert is a masculine given name of Norman-French origin that has been borne by various notable figures, including philosophers, writers, and entertainers.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5d16ec819088056167c88d3318 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a16badc8190b5b603db0ca738cb completed March 7, 2026, 8:27 p.m.
NEDg Description generation batch_69ac8b70bd888190bed944579237bfad completed March 7, 2026, 8:32 p.m.
NED2 Entity disambiguation (via description) batch_69ac8bce4be48190b7e396d31e881450 completed March 7, 2026, 8:34 p.m.
Created at: March 1, 2026, 7:47 p.m.