Triple

T19847934
Position Surface form Disambiguated ID Type / Status
Subject Trimble E476919 entity
Predicate hasNotableBearer P458 FINISHED
Object Ross Trimble
Ross Trimble was a Canadian football player and coach known for his involvement in early Canadian professional football.
E1398894 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: Ross Trimble | Statement: [Trimble, hasNotableBearer, Ross Trimble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ross Trimble
Context triple: [Trimble, hasNotableBearer, Ross Trimble]
  • A. Henry Toombs
    Henry Toombs was an American architect best known for designing Top Cottage, President Franklin D. Roosevelt’s personal retreat in Hyde Park, New York.
  • B. Vic Lambdin
    Vic Lambdin is a fictional character known for his ruthless and uncompromising nature.
  • C. James C. Cobb
    James C. Cobb is a prominent American historian known for his influential scholarship on the history, culture, and identity of the American South.
  • D. William R. Desobry
    William R. Desobry was a United States Army general best known for his leadership in armored units during World War II and the Cold War, including senior command roles in Europe.
  • E. William J. Bordelon
    William J. Bordelon was a United States Marine and Medal of Honor recipient who was killed in action during World War II.
  • 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: Ross Trimble
Triple: [Trimble, hasNotableBearer, Ross Trimble]
Generated description
Ross Trimble was a Canadian football player and coach known for his involvement in early Canadian professional football.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ross Trimble
Target entity description: Ross Trimble was a Canadian football player and coach known for his involvement in early Canadian professional football.
  • A. Henry Toombs
    Henry Toombs was an American architect best known for designing Top Cottage, President Franklin D. Roosevelt’s personal retreat in Hyde Park, New York.
  • B. Vic Lambdin
    Vic Lambdin is a fictional character known for his ruthless and uncompromising nature.
  • C. James C. Cobb
    James C. Cobb is a prominent American historian known for his influential scholarship on the history, culture, and identity of the American South.
  • D. William R. Desobry
    William R. Desobry was a United States Army general best known for his leadership in armored units during World War II and the Cold War, including senior command roles in Europe.
  • E. William J. Bordelon
    William J. Bordelon was a United States Marine and Medal of Honor recipient who was killed in action during World War II.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6580ba4948190a3260f23d011cc36 completed April 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07d43eee448190ba75cb9b72227918 completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d8429d0c81908d4fdb9e41f6b9f5 completed May 16, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_6a07d8afc97c81908be6ddcaf2a6987c completed May 16, 2026, 2:38 a.m.
Created at: April 10, 2026, 1:51 p.m.