Triple

T246256
Position Surface form Disambiguated ID Type / Status
Subject Paul Kurtz E5044 entity
Predicate familyName P18 FINISHED
Object Kurtz
Kurtz is a surname of German origin borne by various notable individuals across fields such as philosophy, literature, and entertainment.
 E31712 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: Kurtz | Statement: [Paul Kurtz, familyName, Kurtz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kurtz
Context triple: [Paul Kurtz, familyName, Kurtz]
  • A. John Carter
    John Carter is a film editor best known for his work on notable movies such as the 1995 drama "Waiting to Exhale."
  • B. Anton
    Anton is a masculine given name of Latin origin, commonly used in various European and Slavic countries.
  • C. Koba
    Koba was a revolutionary alias used by Joseph Stalin during his early political activities in the Bolshevik movement.
  • D. Degory Priest
    Degory Priest was an English Pilgrim and early settler of Plymouth Colony who traveled on the Mayflower and participated in the founding governance of the colony.
  • E. Rodolfo
    Rodolfo is the original Italian given name of Rudolph Valentino, the iconic silent film actor and sex symbol of the 1920s.
  • 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: Kurtz
Triple: [Paul Kurtz, familyName, Kurtz]
Generated description
Kurtz is a surname of German origin borne by various notable individuals across fields such as philosophy, literature, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kurtz
Target entity description: Kurtz is a surname of German origin borne by various notable individuals across fields such as philosophy, literature, and entertainment.
  • A. John Carter
    John Carter is a film editor best known for his work on notable movies such as the 1995 drama "Waiting to Exhale."
  • B. Anton
    Anton is a masculine given name of Latin origin, commonly used in various European and Slavic countries.
  • C. Koba
    Koba was a revolutionary alias used by Joseph Stalin during his early political activities in the Bolshevik movement.
  • D. Degory Priest
    Degory Priest was an English Pilgrim and early settler of Plymouth Colony who traveled on the Mayflower and participated in the founding governance of the colony.
  • E. Rodolfo
    Rodolfo is the original Italian given name of Rudolph Valentino, the iconic silent film actor and sex symbol of the 1920s.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d128c0081909908825b302ae635 completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36cf4d8608190bf3d33ee6b93aae0 completed Feb. 28, 2026, 10:32 p.m.
NEDg Description generation batch_69a36d7b01fc8190a5c596b748bbaa53 completed Feb. 28, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69a36df1839081909c743e1357dd400a completed Feb. 28, 2026, 10:36 p.m.
Created at: Feb. 28, 2026, 2:54 a.m.