Triple

T18305908
Position Surface form Disambiguated ID Type / Status
Subject John H. Leims E438482 entity
Predicate familyName P18 FINISHED
Object Leims
Leims is a surname most notably associated with John H. Leims, a decorated United States Marine Corps officer and Medal of Honor recipient from World War II.
 E1316327 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: Leims | Statement: [John H. Leims, familyName, Leims]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leims
Context triple: [John H. Leims, familyName, Leims]
  • A. Leimental
    Leimental is a region in the canton of Basel-Landschaft in Switzerland, known for its suburban communities and scenic landscapes near the city of Basel.
  • B. Seelbach
    Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
  • C. Lauter
    Lauter is a small municipality in the Haßberge district of Bavaria, Germany, known for its rural character and Franconian countryside setting.
  • D. Lauter
    Lauter is a small town in the Ore Mountains of Saxony, Germany, historically shaped by regional mining and metalworking.
  • E. Lauter
    Lauter is a small river in Germany that serves as a tributary of the Innerste.
  • 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: Leims
Triple: [John H. Leims, familyName, Leims]
Generated description
Leims is a surname most notably associated with John H. Leims, a decorated United States Marine Corps officer and Medal of Honor recipient from World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leims
Target entity description: Leims is a surname most notably associated with John H. Leims, a decorated United States Marine Corps officer and Medal of Honor recipient from World War II.
  • A. Leimental
    Leimental is a region in the canton of Basel-Landschaft in Switzerland, known for its suburban communities and scenic landscapes near the city of Basel.
  • B. Seelbach
    Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
  • C. Lauter
    Lauter is a small municipality in the Haßberge district of Bavaria, Germany, known for its rural character and Franconian countryside setting.
  • D. Lauter
    Lauter is a small town in the Ore Mountains of Saxony, Germany, historically shaped by regional mining and metalworking.
  • E. Lauter
    Lauter is a small river in Germany that serves as a tributary of the Innerste.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50183394081909b86cefaaa0a3aa8 completed April 19, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03bb61ec0c81908764d5a907d17ffe completed May 12, 2026, 11:44 p.m.
NEDg Description generation batch_6a03bbda80748190b8e56fb77140ecb9 completed May 12, 2026, 11:46 p.m.
NED2 Entity disambiguation (via description) batch_6a03bc589a548190b6226a104adea97e completed May 12, 2026, 11:48 p.m.
Created at: April 10, 2026, 10:35 a.m.