Triple

T4859021
Position Surface form Disambiguated ID Type / Status
Subject Brookhaven E108608 entity
Predicate contains P35 FINISHED
Object Selden
Selden is a hamlet and census-designated place in Suffolk County on Long Island, New York.
 E474767 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: Selden | Statement: [Brookhaven, contains, Selden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Selden
Context triple: [Brookhaven, contains, Selden]
  • A. Goodrich
    Goodrich is a surname of English origin borne by various notable individuals across fields such as politics, the military, business, and the arts.
  • B. Bancroft
    Bancroft is an English-origin surname borne by various notable figures in politics, academia, and the arts.
  • C. Biddle
    Biddle is a surname most notably associated with Nicholas Biddle, the influential early 19th-century American banker and president of the Second Bank of the United States.
  • D. Beckett
    Beckett is a surname most famously associated with Samuel Beckett, the Irish avant-garde novelist, playwright, and Nobel Prize–winning author of "Waiting for Godot."
  • E. Schiffrin
    Schiffrin is a surname most notably associated with André Schiffrin, an influential publisher and intellectual known for his work in progressive and independent publishing.
  • 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: Selden
Triple: [Brookhaven, contains, Selden]
Generated description
Selden is a hamlet and census-designated place in Suffolk County on Long Island, New York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Selden
Target entity description: Selden is a hamlet and census-designated place in Suffolk County on Long Island, New York.
  • A. Goodrich
    Goodrich is a surname of English origin borne by various notable individuals across fields such as politics, the military, business, and the arts.
  • B. Bancroft
    Bancroft is an English-origin surname borne by various notable figures in politics, academia, and the arts.
  • C. Biddle
    Biddle is a surname most notably associated with Nicholas Biddle, the influential early 19th-century American banker and president of the Second Bank of the United States.
  • D. Beckett
    Beckett is a surname most famously associated with Samuel Beckett, the Irish avant-garde novelist, playwright, and Nobel Prize–winning author of "Waiting for Godot."
  • E. Schiffrin
    Schiffrin is a surname most notably associated with André Schiffrin, an influential publisher and intellectual known for his work in progressive and independent publishing.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d5c92148190a314707bdd3ff30f completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cf05d7c8190ac6e1b9e93b5256f completed March 21, 2026, 8:55 a.m.
NEDg Description generation batch_69be5f98d4d481908eedf03569d38642 completed March 21, 2026, 9:06 a.m.
NED2 Entity disambiguation (via description) batch_69be6044d31081908384ed9da8c6b707 completed March 21, 2026, 9:09 a.m.
Created at: March 20, 2026, 1:26 p.m.