Triple

T1687774
Position Surface form Disambiguated ID Type / Status
Subject Donald Fehr E36481 entity
Predicate familyName P18 FINISHED
Object Fehr
Fehr is a surname most prominently associated with Donald Fehr, the longtime executive director of the Major League Baseball Players Association and later the NHL Players’ Association.
 E191778 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: Fehr | Statement: [Donald Fehr, familyName, Fehr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fehr
Context triple: [Donald Fehr, familyName, Fehr]
  • A. Fischer
    Fischer is a common German surname borne by numerous notable individuals across fields such as politics, science, sports, and the arts.
  • B. Frick
    Frick is a surname most prominently associated with American industrialist and art patron Henry Clay Frick.
  • C. Flinck
    Flinck is a Dutch surname most notably associated with the 17th-century painter Govert Flinck, a prominent figure of the Dutch Golden Age.
  • D. Frisch
    Frisch is a German-language surname most notably associated with Swiss playwright and novelist Max Frisch.
  • E. Ficker
    Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
  • 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: Fehr
Triple: [Donald Fehr, familyName, Fehr]
Generated description
Fehr is a surname most prominently associated with Donald Fehr, the longtime executive director of the Major League Baseball Players Association and later the NHL Players’ Association.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fehr
Target entity description: Fehr is a surname most prominently associated with Donald Fehr, the longtime executive director of the Major League Baseball Players Association and later the NHL Players’ Association.
  • A. Fischer
    Fischer is a common German surname borne by numerous notable individuals across fields such as politics, science, sports, and the arts.
  • B. Frick
    Frick is a surname most prominently associated with American industrialist and art patron Henry Clay Frick.
  • C. Flinck
    Flinck is a Dutch surname most notably associated with the 17th-century painter Govert Flinck, a prominent figure of the Dutch Golden Age.
  • D. Frisch
    Frisch is a German-language surname most notably associated with Swiss playwright and novelist Max Frisch.
  • E. Ficker
    Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6294f5ac819089cf5c2530ec71a0 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad79901458819098f0be72d9d4a9bb completed March 8, 2026, 1:28 p.m.
NEDg Description generation batch_69ad81f90e948190b83078523b1cf3f8 completed March 8, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69ad82755910819087aa9940dc1e7495 completed March 8, 2026, 2:06 p.m.
Created at: March 4, 2026, 7:29 p.m.