Triple

T20166984
Position Surface form Disambiguated ID Type / Status
Subject Thomas G. Stemberg E491847 entity
Predicate familyName P18 FINISHED
Object Stemberg
Stemberg is a surname most notably associated with Thomas G. Stemberg, the American businessman and co-founder of the office-supply retail chain Staples.
 E1414578 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: Stemberg | Statement: [Thomas G. Stemberg, familyName, Stemberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stemberg
Context triple: [Thomas G. Stemberg, familyName, Stemberg]
  • A. Estermann
    Estermann is a surname most notably associated with mathematician Theodor Estermann, known for his contributions to analytic number theory.
  • B. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • C. Steffens
    Steffens is a surname most notably associated with Lincoln Steffens, an influential American muckraking journalist of the early 20th century.
  • D. Meyerhof
    Meyerhof is a surname of German origin, notably borne by biochemist Otto Fritz Meyerhof, a Nobel laureate recognized for his work on muscle metabolism.
  • E. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • 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: Stemberg
Triple: [Thomas G. Stemberg, familyName, Stemberg]
Generated description
Stemberg is a surname most notably associated with Thomas G. Stemberg, the American businessman and co-founder of the office-supply retail chain Staples.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stemberg
Target entity description: Stemberg is a surname most notably associated with Thomas G. Stemberg, the American businessman and co-founder of the office-supply retail chain Staples.
  • A. Estermann
    Estermann is a surname most notably associated with mathematician Theodor Estermann, known for his contributions to analytic number theory.
  • B. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • C. Steffens
    Steffens is a surname most notably associated with Lincoln Steffens, an influential American muckraking journalist of the early 20th century.
  • D. Meyerhof
    Meyerhof is a surname of German origin, notably borne by biochemist Otto Fritz Meyerhof, a Nobel laureate recognized for his work on muscle metabolism.
  • E. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66844e49081909b7e9ec2b65cc61d completed April 20, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08347f265c8190af58b1d960fb34fd completed May 16, 2026, 9:10 a.m.
NEDg Description generation batch_6a0835b123dc8190a666dbeda18b9bc9 completed May 16, 2026, 9:15 a.m.
NED2 Entity disambiguation (via description) batch_6a083677d1148190add2826f6e8a0b14 completed May 16, 2026, 9:18 a.m.
Created at: April 11, 2026, 11:35 p.m.