Triple

T19949579
Position Surface form Disambiguated ID Type / Status
Subject Lynden Pindling E479518 entity
Predicate givenName P17 FINISHED
Object Lynden
Lynden is a masculine given name most notably borne by Sir Lynden Pindling, the first Prime Minister of an independent Bahamas.
 E1402810 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: Lynden | Statement: [Lynden Pindling, givenName, Lynden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lynden
Context triple: [Lynden Pindling, givenName, Lynden]
  • A. Lynden, Washington
    Lynden, Washington is a small city in Whatcom County known for its strong Dutch-American heritage, dairy farming, and traditional festivals.
  • B. LYNDEN
    LYNDEN is the radio callsign used by Lynden Air Cargo, an American cargo airline specializing in freight and logistics operations.
  • C. Ellensburg
    Ellensburg is a small city in central Washington known for hosting Central Washington University and its historic downtown and rodeo traditions.
  • D. Kirklands
    Kirklands is a variant name that most commonly refers to Kirkland, a city in Washington State and a private-label brand used by Costco.
  • E. Kirkland
    Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
  • 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: Lynden
Triple: [Lynden Pindling, givenName, Lynden]
Generated description
Lynden is a masculine given name most notably borne by Sir Lynden Pindling, the first Prime Minister of an independent Bahamas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lynden
Target entity description: Lynden is a masculine given name most notably borne by Sir Lynden Pindling, the first Prime Minister of an independent Bahamas.
  • A. Lynden, Washington
    Lynden, Washington is a small city in Whatcom County known for its strong Dutch-American heritage, dairy farming, and traditional festivals.
  • B. LYNDEN
    LYNDEN is the radio callsign used by Lynden Air Cargo, an American cargo airline specializing in freight and logistics operations.
  • C. Ellensburg
    Ellensburg is a small city in central Washington known for hosting Central Washington University and its historic downtown and rodeo traditions.
  • D. Kirklands
    Kirklands is a variant name that most commonly refers to Kirkland, a city in Washington State and a private-label brand used by Costco.
  • E. Kirkland
    Kirkland is a surname most notably associated with American ballerina Gelsey Kirkland.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a6a93548190875af2176e6901a7 completed April 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6f4cc5881908c2cfea5fdfa1357 completed May 16, 2026, 4:47 a.m.
NEDg Description generation batch_6a07f83250fc8190bdcf86f1981e47f6 completed May 16, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_6a07f8c025488190bdc06977f07e6ddc completed May 16, 2026, 4:55 a.m.
Created at: April 10, 2026, 1:54 p.m.