Triple

T3287382
Position Surface form Disambiguated ID Type / Status
Subject Stephenie Meyer E69015 entity
Predicate familyName P18 FINISHED
Object Meyer
Meyer is a common German-origin surname borne by numerous notable individuals across fields such as literature, entertainment, sports, and academia.
 E345534 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: Meyer | Statement: [Stephenie Meyer, familyName, Meyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meyer
Context triple: [Stephenie Meyer, familyName, Meyer]
  • A. Meyer
    Meyer is a given name most famously associated with Meyer Lansky, a major organized crime figure in the United States during the 20th century.
  • B. Meier
    Meier is a common German surname borne by numerous individuals across various professions and regions.
  • C. Mayer
    Mayer is a common German-origin surname borne by numerous notable individuals across fields such as music, science, and politics.
  • D. Menzel
    Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
  • E. Mieresch
    Mieresch is the German name for the Mureș River, a major river flowing through Romania and Hungary.
  • 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: Meyer
Triple: [Stephenie Meyer, familyName, Meyer]
Generated description
Meyer is a common German-origin surname borne by numerous notable individuals across fields such as literature, entertainment, sports, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meyer
Target entity description: Meyer is a common German-origin surname borne by numerous notable individuals across fields such as literature, entertainment, sports, and academia.
  • A. Meyer
    Meyer is a given name most famously associated with Meyer Lansky, a major organized crime figure in the United States during the 20th century.
  • B. Meier
    Meier is a common German surname borne by numerous individuals across various professions and regions.
  • C. Mayer
    Mayer is a common German-origin surname borne by numerous notable individuals across fields such as music, science, and politics.
  • D. Menzel
    Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
  • E. Mieresch
    Mieresch is the German name for the Mureș River, a major river flowing through Romania and Hungary.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb058e00881908fdf0a23208860d4 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85f71508190b194b4d383d7ee32 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e8d165488190bdb6c07257f7502a completed March 12, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_69b2ecfd3c20819089bc0b2141aee8eb completed March 12, 2026, 4:42 p.m.
Created at: March 8, 2026, 3:10 p.m.