Triple

T6232871
Position Surface form Disambiguated ID Type / Status
Subject Long E139397 entity
Predicate hasNotableBearer P458 FINISHED
Object William Long
William Long is a personal name shared by multiple notable individuals across fields such as politics, academia, and the arts.
 E203975 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: William Long | Statement: [Long, hasNotableBearer, William Long]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: William Long
Context triple: [Long, hasNotableBearer, William Long]
  • A. William Long
    William Long is a mountaineer known for being among the first climbers to successfully ascend Vinson Massif, the highest peak in Antarctica.
  • B. William Ross
    William Ross is an American composer, orchestrator, and conductor known for his work on numerous film scores and collaborations with major Hollywood productions.
  • C. Francis Smith
    Francis Smith was a British Army officer best known for leading the regular troops during the opening engagements of the American Revolutionary War at Lexington and Concord in 1775.
  • D. John Barr
    John Barr is a relatively common personal name shared by multiple individuals across various professions, including politics, sports, and the arts.
  • E. Philip Oakes
    Philip Oakes was a British journalist, film critic, and screenwriter active in the mid-20th century.
  • 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: William Long
Triple: [Long, hasNotableBearer, William Long]
Generated description
William Long is a personal name shared by multiple notable individuals across fields such as politics, academia, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: William Long
Target entity description: William Long is a personal name shared by multiple notable individuals across fields such as politics, academia, and the arts.
  • A. William Long chosen
    William Long is a mountaineer known for being among the first climbers to successfully ascend Vinson Massif, the highest peak in Antarctica.
  • B. William Ross
    William Ross is an American composer, orchestrator, and conductor known for his work on numerous film scores and collaborations with major Hollywood productions.
  • C. Francis Smith
    Francis Smith was a British Army officer best known for leading the regular troops during the opening engagements of the American Revolutionary War at Lexington and Concord in 1775.
  • D. John Barr
    John Barr is a relatively common personal name shared by multiple individuals across various professions, including politics, sports, and the arts.
  • E. Philip Oakes
    Philip Oakes was a British journalist, film critic, and screenwriter active in the mid-20th century.
  • F. None of above.

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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062efa25c8190a54f5a6f5b5ad24f completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20defd338819099a23d00107c4edd completed March 24, 2026, 4:07 a.m.
NEDg Description generation batch_69c211c3c60c8190bd5e4f002c1569e0 completed March 24, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_69c214b9b83881909da9fedc7ce60f39 completed March 24, 2026, 4:36 a.m.
Created at: March 22, 2026, 4:22 p.m.