Triple

T7679034
Position Surface form Disambiguated ID Type / Status
Subject Charlie Sitton E173940 entity
Predicate familyName P18 FINISHED
Object Sitton
Sitton is a surname of English origin borne by various notable individuals, including athletes and public figures.
 E681431 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: Sitton | Statement: [Charlie Sitton, familyName, Sitton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sitton
Context triple: [Charlie Sitton, familyName, Sitton]
  • A. Silla
    Silla was an ancient Korean kingdom that unified most of the Korean Peninsula in the 7th century and played a central role in the development of early Korean culture, Buddhism, and statehood.
  • B. Sitte
    Sitte is a German-language surname most notably associated with Austrian architect and urban theorist Camillo Sitte.
  • C. Sit
    Sit is one of the islands within Croatia’s Kornati National Park, a protected Adriatic archipelago known for its rugged karst landscapes and clear sea.
  • D. Seisia
    Seisia is a small coastal community in far northern Queensland, Australia, known as a key Torres Strait transport and fishing hub near the tip of Cape York Peninsula.
  • E. Gofa
    Gofa is an Omotic language spoken primarily by the Gofa people in southwestern Ethiopia.
  • 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: Sitton
Triple: [Charlie Sitton, familyName, Sitton]
Generated description
Sitton is a surname of English origin borne by various notable individuals, including athletes and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sitton
Target entity description: Sitton is a surname of English origin borne by various notable individuals, including athletes and public figures.
  • A. Silla
    Silla was an ancient Korean kingdom that unified most of the Korean Peninsula in the 7th century and played a central role in the development of early Korean culture, Buddhism, and statehood.
  • B. Sitte
    Sitte is a German-language surname most notably associated with Austrian architect and urban theorist Camillo Sitte.
  • C. Sit
    Sit is one of the islands within Croatia’s Kornati National Park, a protected Adriatic archipelago known for its rugged karst landscapes and clear sea.
  • D. Seisia
    Seisia is a small coastal community in far northern Queensland, Australia, known as a key Torres Strait transport and fishing hub near the tip of Cape York Peninsula.
  • E. Gofa
    Gofa is an Omotic language spoken primarily by the Gofa people in southwestern Ethiopia.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701fe2cc88190b5fd5e1378c32e5b completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a248750481908f0de08aee78c9ba completed March 29, 2026, 3:53 a.m.
NEDg Description generation batch_69c8a2fd5a348190a952f6cc3e622474 completed March 29, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_69c8a3a570948190ba733c3c858d4bfd completed March 29, 2026, 3:59 a.m.
Created at: March 27, 2026, 4:01 p.m.