Triple

T6369031
Position Surface form Disambiguated ID Type / Status
Subject John Stevens (engineer) E143299 entity
Predicate hasGivenName P17 FINISHED
Object John
John is the given name of John Stevens, an engineer known for his contributions in his field.
E265389 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: John | Statement: [John Stevens (engineer), hasGivenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Stevens (engineer), hasGivenName, John]
  • A. John
    John is the given name of John H. Hammond Jr., the influential American record producer and talent scout known for discovering and promoting numerous major jazz, blues, and rock musicians.
  • B. John
    John is the given name of John F. Sattler, likely referring to him in a more informal or abbreviated context.
  • C. John
    John is the given name of John B. Watson, the influential American psychologist who founded behaviorism.
  • D. John
    John is the given name of Australian cinematographer John Seale, known for his work on films such as "The English Patient" and "Mad Max: Fury Road."
  • E. John
    John is the given name of John Murray, 4th Duke of Atholl, a Scottish peer and nobleman of the 18th–19th 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: John
Triple: [John Stevens (engineer), hasGivenName, John]
Generated description
John is the given name of John Stevens, an engineer known for his contributions in his field.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Stevens, an engineer known for his contributions in his field.
  • A. John chosen
    John is the given name of John Frank Stevens, the American civil engineer best known for his pivotal role in the construction of the Panama Canal.
  • B. John
    John is the given name of John R. Pierce, an American engineer and scientist known for his pioneering work in communications and satellite technology.
  • C. John
    John is the given name of John Rennie the Younger, a prominent 19th-century British civil engineer known for designing notable bridges and docks.
  • D. John
    John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
  • E. John
    John is the given name of Sir John Fowler, a prominent 19th-century British civil engineer known for major railway and bridge projects such as the Forth Bridge.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068265a7481908571be7ea4ac11b7 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6537fc2ac8190a05779363ed2b3eb completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c655131c6081908e9ddd0f4fdd8398 completed March 27, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_69c6558b5dc88190bc91b16594d8983a completed March 27, 2026, 10:01 a.m.
Created at: March 22, 2026, 4:33 p.m.