Triple

T20985979
Position Surface form Disambiguated ID Type / Status
Subject State Treasurer of Louisiana E516892 entity
Predicate officeHolder P537 FINISHED
Object John Schroder
John Schroder is an American Republican politician who has served as Louisiana’s state treasurer, overseeing the state’s finances and investments.
 E1461109 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: John Schroder | Statement: [State Treasurer of Louisiana, officeHolder, John Schroder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Schroder
Context triple: [State Treasurer of Louisiana, officeHolder, John Schroder]
  • A. Michael Schroeder
    Michael Schroeder is a software developer best known for his work on the GNU Screen terminal multiplexer.
  • B. Robert Osterloh
    Robert Osterloh was an American character actor known for his tough, often villainous roles in mid-20th-century crime and war films.
  • C. Martin Schröder
    Martin Schröder is a Dutch aviation entrepreneur best known as the founder of the charter airline Martinair.
  • D. David Krueger
    David Krueger is an AI researcher and entrepreneur best known as a co-founder of the safety-focused artificial intelligence company Anthropic.
  • E. Jeff Schroeder
    Jeff Schroeder is an American guitarist best known for his long-time role in alternative rock band The Smashing Pumpkins.
  • 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: John Schroder
Triple: [State Treasurer of Louisiana, officeHolder, John Schroder]
Generated description
John Schroder is an American Republican politician who has served as Louisiana’s state treasurer, overseeing the state’s finances and investments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Schroder
Target entity description: John Schroder is an American Republican politician who has served as Louisiana’s state treasurer, overseeing the state’s finances and investments.
  • A. Michael Schroeder
    Michael Schroeder is a software developer best known for his work on the GNU Screen terminal multiplexer.
  • B. Robert Osterloh
    Robert Osterloh was an American character actor known for his tough, often villainous roles in mid-20th-century crime and war films.
  • C. Martin Schröder
    Martin Schröder is a Dutch aviation entrepreneur best known as the founder of the charter airline Martinair.
  • D. David Krueger
    David Krueger is an AI researcher and entrepreneur best known as a co-founder of the safety-focused artificial intelligence company Anthropic.
  • E. Jeff Schroeder
    Jeff Schroeder is an American guitarist best known for his long-time role in alternative rock band The Smashing Pumpkins.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe31cec8190a1007414148b8abe completed April 21, 2026, 4:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092fc54dd88190b96b644092778cb1 completed May 17, 2026, 3:02 a.m.
NEDg Description generation batch_6a09317be0088190b72bcfbf6e5962d1 completed May 17, 2026, 3:09 a.m.
NED2 Entity disambiguation (via description) batch_6a093222759481908f57d0f62b919578 completed May 17, 2026, 3:12 a.m.
Created at: April 16, 2026, 1:48 p.m.