Triple

T694814
Position Surface form Disambiguated ID Type / Status
Subject Mike Schmidt E13872 entity
Predicate familyName P18 FINISHED
Object Schmidt
Schmidt is a common German surname borne by numerous notable individuals across fields such as politics, sports, science, and the arts.
 E85459 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: Schmidt | Statement: [Mike Schmidt, familyName, Schmidt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Schmidt
Context triple: [Mike Schmidt, familyName, Schmidt]
  • A. Scholz
    Scholz is a German surname most prominently associated with Olaf Scholz, the Chancellor of Germany.
  • B. Sauer
    Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
  • C. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • D. Bardeen
    Bardeen is a surname most notably associated with John Bardeen, the American physicist who won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
  • E. Hoyte
    Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
  • 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: Schmidt
Triple: [Mike Schmidt, familyName, Schmidt]
Generated description
Schmidt is a common German surname borne by numerous notable individuals across fields such as politics, sports, science, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Schmidt
Target entity description: Schmidt is a common German surname borne by numerous notable individuals across fields such as politics, sports, science, and the arts.
  • A. Scholz
    Scholz is a German surname most prominently associated with Olaf Scholz, the Chancellor of Germany.
  • B. Sauer
    Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
  • C. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • D. Bardeen
    Bardeen is a surname most notably associated with John Bardeen, the American physicist who won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
  • E. Hoyte
    Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0c3f39c8190a3014df428817492 completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dca9aa9c8190a113e782988aa7f8 completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5e70510908190bcbd1c46629d05f5 completed March 2, 2026, 7:37 p.m.
NED2 Entity disambiguation (via description) batch_69a60989aac08190a324c8d9889086f5 completed March 2, 2026, 10:04 p.m.
Created at: March 1, 2026, 7:36 p.m.