Triple

T782851
Position Surface form Disambiguated ID Type / Status
Subject Paul Nitze E16535 entity
Predicate familyName P18 FINISHED
Object Nitze
Nitze is a surname most prominently associated with Paul Nitze, an influential American diplomat and key architect of U.S. Cold War defense policy.
 E92993 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: Nitze | Statement: [Paul Nitze, familyName, Nitze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nitze
Context triple: [Paul Nitze, familyName, Nitze]
  • A. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • B. Theodore
    Theodore is a masculine given name of Greek origin, meaning "gift of God," from which the nickname Ted is derived.
  • C. Al Reser
    Al Reser was an American businessman and Oregon State University alumnus best known as the longtime head of Reser's Fine Foods and a major benefactor of OSU athletics.
  • D. Theodore Brentano
    Theodore Brentano was an American diplomat and jurist who served as the first U.S. Ambassador to Hungary in the early 20th century.
  • E. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • 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: Nitze
Triple: [Paul Nitze, familyName, Nitze]
Generated description
Nitze is a surname most prominently associated with Paul Nitze, an influential American diplomat and key architect of U.S. Cold War defense policy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nitze
Target entity description: Nitze is a surname most prominently associated with Paul Nitze, an influential American diplomat and key architect of U.S. Cold War defense policy.
  • A. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • B. Theodore
    Theodore is a masculine given name of Greek origin, meaning "gift of God," from which the nickname Ted is derived.
  • C. Al Reser
    Al Reser was an American businessman and Oregon State University alumnus best known as the longtime head of Reser's Fine Foods and a major benefactor of OSU athletics.
  • D. Theodore Brentano
    Theodore Brentano was an American diplomat and jurist who served as the first U.S. Ambassador to Hungary in the early 20th century.
  • E. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7686d0881908c2a4395059be02c completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6733c2e608190962440d6ef637784 completed March 3, 2026, 5:35 a.m.
NEDg Description generation batch_69a673ccc2308190a887ada146290de8 completed March 3, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_69a6742d7ba881909385cbc51a2ed7bd completed March 3, 2026, 5:39 a.m.
Created at: March 1, 2026, 7:37 p.m.