Triple

T10995140
Position Surface form Disambiguated ID Type / Status
Subject Richard F. Natonski E259843 entity
Predicate familyName P18 FINISHED
Object Natonski
Natonski is the surname of Richard F. Natonski, a retired United States Marine Corps lieutenant general.
 E898727 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: Natonski | Statement: [Richard F. Natonski, familyName, Natonski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Natonski
Context triple: [Richard F. Natonski, familyName, Natonski]
  • A. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • B. Niçart
    Niçart is an alternative name for the Niçard language, a Romance variety traditionally spoken in and around Nice in southeastern France.
  • C. Niton
    Niton is a coastal village on the southern tip of the Isle of Wight in England, known for its scenic cliffs and rural character.
  • D. Nikisch
    Nikisch is a surname most notably associated with Arthur Nikisch, a renowned late 19th- and early 20th-century Hungarian conductor.
  • E. Nesite
    Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
  • 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: Natonski
Triple: [Richard F. Natonski, familyName, Natonski]
Generated description
Natonski is the surname of Richard F. Natonski, a retired United States Marine Corps lieutenant general.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Natonski
Target entity description: Natonski is the surname of Richard F. Natonski, a retired United States Marine Corps lieutenant general.
  • A. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • B. Niçart
    Niçart is an alternative name for the Niçard language, a Romance variety traditionally spoken in and around Nice in southeastern France.
  • C. Niton
    Niton is a coastal village on the southern tip of the Isle of Wight in England, known for its scenic cliffs and rural character.
  • D. Nikisch
    Nikisch is a surname most notably associated with Arthur Nikisch, a renowned late 19th- and early 20th-century Hungarian conductor.
  • E. Nesite
    Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d795d59ebc8190baff1f50bdc46c1b completed April 9, 2026, 12:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3451451988190add2762b1e1be8ed completed April 18, 2026, 8:47 a.m.
NEDg Description generation batch_69e3556fd3548190a33f04604be947cf completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e3593b0f8481909ed7a90f8bb9839d completed April 18, 2026, 10:13 a.m.
Created at: April 8, 2026, 9:24 p.m.