Triple

T8563699
Position Surface form Disambiguated ID Type / Status
Subject Aberdeen, Washington E202749 entity
Predicate foundedBy P104 FINISHED
Object Samuel Benn
Samuel Benn was a 19th-century American settler and entrepreneur credited as the founder of the city of Aberdeen in Washington State.
E743581 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: Samuel Benn | Statement: [Aberdeen, Washington, foundedBy, Samuel Benn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Benn
Context triple: [Aberdeen, Washington, foundedBy, Samuel Benn]
  • A. Samuel Barnes
    Samuel Barnes is an author known for his work with the Juicy brand.
  • B. Samuel Barnes
    Samuel Barnes is a music producer best known for his work on the album "Faith."
  • C. Samuel Lester
    Samuel Lester is the full given name of Les Snead, the American football executive best known as the general manager of the Los Angeles Rams.
  • D. Samuel Murray
    Samuel Murray was an American sculptor known for his public monuments and portrait statues in the late 19th and early 20th centuries.
  • E. Samuel Joseph
    Samuel Joseph is the son of British Conservative politician and former Education Secretary Keith Joseph.
  • 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: Samuel Benn
Triple: [Aberdeen, Washington, foundedBy, Samuel Benn]
Generated description
Samuel Benn was a 19th-century American settler and entrepreneur credited as the founder of the city of Aberdeen in Washington State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Samuel Benn
Target entity description: Samuel Benn was a 19th-century American settler and entrepreneur credited as the founder of the city of Aberdeen in Washington State.
  • A. Samuel Barnes
    Samuel Barnes is an author known for his work with the Juicy brand.
  • B. Samuel Barnes
    Samuel Barnes is a music producer best known for his work on the album "Faith."
  • C. Samuel Lester
    Samuel Lester is the full given name of Les Snead, the American football executive best known as the general manager of the Los Angeles Rams.
  • D. Samuel Murray
    Samuel Murray was an American sculptor known for his public monuments and portrait statues in the late 19th and early 20th centuries.
  • E. Samuel Joseph
    Samuel Joseph is the son of British Conservative politician and former Education Secretary Keith Joseph.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9cfc4a48190ae4530d3614d115f completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce895f91bc819099b1b2df59374403 completed April 2, 2026, 3:21 p.m.
NEDg Description generation batch_69ce8cc19b8c81909c89e771fdb7b043 completed April 2, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69ce8d595d80819093a1b849bcb3c7c7 completed April 2, 2026, 3:38 p.m.
Created at: March 30, 2026, 6:20 p.m.