Triple

T22522047
Position Surface form Disambiguated ID Type / Status
Subject Battle of Vågen E556804 entity
Predicate commander P1061 FINISHED
Object Thomas Teddeman
Thomas Teddeman was a 17th-century English naval officer and admiral in the Royal Navy, noted for his role in the Anglo-Dutch Wars.
E1540421 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: Thomas Teddeman | Statement: [Battle of Vågen, commander, Thomas Teddeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Teddeman
Context triple: [Battle of Vågen, commander, Thomas Teddeman]
  • A. Hugo Townsend
    Hugo Townsend is a British amateur golfer and the son of former RAF officer and royal equerry Peter Townsend.
  • B. Henry Barraud
    Henry Barraud was a 19th-century English painter known for his portraits and animal paintings, often created in collaboration with his brother William Barraud.
  • C. George Devereux
    George Devereux was a pioneering psychoanalyst and anthropologist known for founding ethnopsychoanalysis and integrating psychoanalytic theory with the study of non-Western cultures.
  • D. Charles Dobell
    Charles Dobell was a Canadian-born British Army general noted for his service in colonial campaigns and the First World War, particularly in the Middle Eastern theatre.
  • E. Guy Lankester
    Guy Lankester is an actor known for his role in the film "The Point Men."
  • 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: Thomas Teddeman
Triple: [Battle of Vågen, commander, Thomas Teddeman]
Generated description
Thomas Teddeman was a 17th-century English naval officer and admiral in the Royal Navy, noted for his role in the Anglo-Dutch Wars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas Teddeman
Target entity description: Thomas Teddeman was a 17th-century English naval officer and admiral in the Royal Navy, noted for his role in the Anglo-Dutch Wars.
  • A. Hugo Townsend
    Hugo Townsend is a British amateur golfer and the son of former RAF officer and royal equerry Peter Townsend.
  • B. Henry Barraud
    Henry Barraud was a 19th-century English painter known for his portraits and animal paintings, often created in collaboration with his brother William Barraud.
  • C. George Devereux
    George Devereux was a pioneering psychoanalyst and anthropologist known for founding ethnopsychoanalysis and integrating psychoanalytic theory with the study of non-Western cultures.
  • D. Charles Dobell
    Charles Dobell was a Canadian-born British Army general noted for his service in colonial campaigns and the First World War, particularly in the Middle Eastern theatre.
  • E. Guy Lankester
    Guy Lankester is an actor known for his role in the film "The Point Men."
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e32b8a88190ac335d4298dd5ee3 completed April 29, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b17f44de48190a086900e1ca5cdc1 completed May 18, 2026, 1:45 p.m.
NEDg Description generation batch_6a0b189b025c8190935d77837edac094 completed May 18, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_6a0b193a558c81909c8c8c8bd82f7bda completed May 18, 2026, 1:50 p.m.
Created at: April 16, 2026, 8:50 p.m.