Triple

T15482966
Position Surface form Disambiguated ID Type / Status
Subject Harry Lehmann E376967 entity
Predicate familyName P18 FINISHED
Object Lehmann
Lehmann is a German-language surname borne by numerous notable individuals across fields such as science, politics, sports, and the arts.
 E1158524 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: Lehmann | Statement: [Harry Lehmann, familyName, Lehmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lehmann
Context triple: [Harry Lehmann, familyName, Lehmann]
  • A. Lehmann and Neumann
    Lehmann and Neumann were microbiologists who formally described and named the bacterial genus Mycobacterium.
  • B. Wesselmann
    Wesselmann is a surname most notably associated with Tom Wesselmann, a prominent American Pop Art painter known for his bold, stylized depictions of the nude and everyday consumer objects.
  • C. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • D. Luetkemeyer
    Luetkemeyer is the birth surname of American actress Julie Bowen, known for her roles in television and film.
  • E. Lerman
    Lerman is a surname most notably associated with American actor Logan Lerman, known for roles in films such as the "Percy Jackson" series and "The Perks of Being a Wallflower."
  • 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: Lehmann
Triple: [Harry Lehmann, familyName, Lehmann]
Generated description
Lehmann is a German-language surname borne by numerous notable individuals across fields such as science, politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lehmann
Target entity description: Lehmann is a German-language surname borne by numerous notable individuals across fields such as science, politics, sports, and the arts.
  • A. Lehmann and Neumann
    Lehmann and Neumann were microbiologists who formally described and named the bacterial genus Mycobacterium.
  • B. Wesselmann
    Wesselmann is a surname most notably associated with Tom Wesselmann, a prominent American Pop Art painter known for his bold, stylized depictions of the nude and everyday consumer objects.
  • C. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • D. Luetkemeyer
    Luetkemeyer is the birth surname of American actress Julie Bowen, known for her roles in television and film.
  • E. Lerman
    Lerman is a surname most notably associated with American actor Logan Lerman, known for roles in films such as the "Percy Jackson" series and "The Perks of Being a Wallflower."
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8e6ff08190b130b3a38f4190e7 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0f4e648190b9cd9b1464209224 completed May 9, 2026, 12:48 p.m.
NEDg Description generation batch_69ff2de2d82c819085d903a538313e70 completed May 9, 2026, 12:51 p.m.
NED2 Entity disambiguation (via description) batch_69ff2ea08ad08190b3ecf29bfe7a809a completed May 9, 2026, 12:54 p.m.
Created at: April 10, 2026, 3:40 a.m.