Triple

T13227202
Position Surface form Disambiguated ID Type / Status
Subject Leonhard Tietz E314911 entity
Predicate familyName P18 FINISHED
Object Tietz
Tietz is a German surname most notably associated with Leonhard Tietz, a pioneering department store entrepreneur.
 E964327 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: Tietz | Statement: [Leonhard Tietz, familyName, Tietz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tietz
Context triple: [Leonhard Tietz, familyName, Tietz]
  • A. Wartmannsroth
    Wartmannsroth is a small municipality in the Lower Franconia region of Bavaria, Germany, known for its rural character and scenic surroundings.
  • B. Albright
    Albright is a surname most notably associated with American journalist and author Joseph Medill Patterson Albright.
  • C. Lejeune
    Lejeune is a surname most prominently associated with U.S. Marine Corps General John A. Lejeune, a key figure in Marine Corps history and namesake of Marine Corps Base Camp Lejeune.
  • D. Rettig
    Rettig is a surname of German origin borne by various notable individuals across fields such as law, politics, and the arts.
  • E. Terwilliger
    Terwilliger is the surname of Sideshow Bob, the recurring villainous character from the animated television series "The Simpsons."
  • 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: Tietz
Triple: [Leonhard Tietz, familyName, Tietz]
Generated description
Tietz is a German surname most notably associated with Leonhard Tietz, a pioneering department store entrepreneur.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tietz
Target entity description: Tietz is a German surname most notably associated with Leonhard Tietz, a pioneering department store entrepreneur.
  • A. Wartmannsroth
    Wartmannsroth is a small municipality in the Lower Franconia region of Bavaria, Germany, known for its rural character and scenic surroundings.
  • B. Albright
    Albright is a surname most notably associated with American journalist and author Joseph Medill Patterson Albright.
  • C. Lejeune
    Lejeune is a surname most prominently associated with U.S. Marine Corps General John A. Lejeune, a key figure in Marine Corps history and namesake of Marine Corps Base Camp Lejeune.
  • D. Rettig chosen
    Rettig is a surname of German origin borne by various notable individuals across fields such as law, politics, and the arts.
  • E. Terwilliger
    Terwilliger is the surname of Sideshow Bob, the recurring villainous character from the animated television series "The Simpsons."
  • F. None of above.

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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d3232d48190a3c792b025c596a6 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2a4b0c8190a853a1f6f4d1cbaf completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f70099f98081909877392c9ec49766 completed May 3, 2026, 8 a.m.
NED2 Entity disambiguation (via description) batch_69f702620bc881909d4348fd2c709232 completed May 3, 2026, 8:08 a.m.
Created at: April 9, 2026, 9:21 p.m.