Triple

T16013585
Position Surface form Disambiguated ID Type / Status
Subject Lori Martin E388402 entity
Predicate hasFamilyName P18 FINISHED
Object Menzer
Menzer is a family surname shared by individuals such as Lori Martin.
E1189506 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: Menzer | Statement: [Lori Martin, hasFamilyName, Menzer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Menzer
Context triple: [Lori Martin, hasFamilyName, Menzer]
  • A. Merzen
    Merzen is a rural municipality in Lower Saxony, Germany, known for its agricultural character and location within the Osnabrück region.
  • B. Menczel
    Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
  • C. Mieresch
    Mieresch is the German name for the Mureș River, a major river flowing through Romania and Hungary.
  • D. Matzelsberger
    Matzelsberger is a German-language surname most notably associated with Franziska Matzelsberger, the second wife of Emperor Franz Joseph I of Austria.
  • E. Minzier
    Minzier is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
  • 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: Menzer
Triple: [Lori Martin, hasFamilyName, Menzer]
Generated description
Menzer is a family surname shared by individuals such as Lori Martin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Menzer
Target entity description: Menzer is a family surname shared by individuals such as Lori Martin.
  • A. Merzen
    Merzen is a rural municipality in Lower Saxony, Germany, known for its agricultural character and location within the Osnabrück region.
  • B. Menczel
    Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
  • C. Mieresch
    Mieresch is the German name for the Mureș River, a major river flowing through Romania and Hungary.
  • D. Matzelsberger
    Matzelsberger is a German-language surname most notably associated with Franziska Matzelsberger, the second wife of Emperor Franz Joseph I of Austria.
  • E. Minzier
    Minzier is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18292b79881908efac869603c4029 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf267a9c81908f1fa1ad117c5e2c completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffd0bfc05881908d7223c52050ea14 completed May 10, 2026, 12:26 a.m.
NED2 Entity disambiguation (via description) batch_69ffd159dbcc81908ac586a6b8de57cf completed May 10, 2026, 12:29 a.m.
Created at: April 10, 2026, 4:55 a.m.