Triple

T4415352
Position Surface form Disambiguated ID Type / Status
Subject Long Island Ducks E94956 entity
Predicate president P8 FINISHED
Object Michael Pfaff
Michael Pfaff is a sports executive best known for leading the independent baseball team Long Island Ducks as its president.
E524296 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: Michael Pfaff | Statement: [Long Island Ducks, president, Michael Pfaff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Pfaff
Context triple: [Long Island Ducks, president, Michael Pfaff]
  • A. Martin Pfaff
    Martin Pfaff is a German economist and politician known for his work in social policy and his tenure as a member of the Bundestag.
  • B. Eric Schoffstall
    Eric Schoffstall is a software developer best known for creating Gulp, a popular JavaScript-based task runner used in web development build workflows.
  • C. David Boeddinghaus
    David Boeddinghaus is a jazz pianist and composer known for his work on the soundtrack of the animated film "Crumb."
  • D. Michael Ballhaus
    Michael Ballhaus was a renowned German cinematographer celebrated for his dynamic camera work and frequent collaborations with director Martin Scorsese.
  • E. Joseph Weishaar
    Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
  • 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: Michael Pfaff
Triple: [Long Island Ducks, president, Michael Pfaff]
Generated description
Michael Pfaff is a sports executive best known for leading the independent baseball team Long Island Ducks as its president.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Pfaff
Target entity description: Michael Pfaff is a sports executive best known for leading the independent baseball team Long Island Ducks as its president.
  • A. Martin Pfaff
    Martin Pfaff is a German economist and politician known for his work in social policy and his tenure as a member of the Bundestag.
  • B. Eric Schoffstall
    Eric Schoffstall is a software developer best known for creating Gulp, a popular JavaScript-based task runner used in web development build workflows.
  • C. David Boeddinghaus
    David Boeddinghaus is a jazz pianist and composer known for his work on the soundtrack of the animated film "Crumb."
  • D. Michael Ballhaus
    Michael Ballhaus was a renowned German cinematographer celebrated for his dynamic camera work and frequent collaborations with director Martin Scorsese.
  • E. Joseph Weishaar
    Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b354eabb2481908ad10d21e1379e7f completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69bf70bb52008190aaf547dff5f0d904 completed March 22, 2026, 4:31 a.m.
NEDg Description generation batch_69bf71fb2e5c8190992a59ccf59968e7 completed March 22, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69bf724e3bcc8190b8f2e80181d46596 completed March 22, 2026, 4:38 a.m.
Created at: March 12, 2026, 11:29 p.m.