Triple

T7839363
Position Surface form Disambiguated ID Type / Status
Subject Sir John Tusa E181765 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of Sir John Tusa, a prominent British arts administrator and former managing director of the BBC World Service and the Barbican Centre.
E701924 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: [Sir John Tusa, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [Sir John Tusa, givenName, John]
  • A. John
    John is the given first name of J. Edgar Hoover, the long-serving and influential first director of the United States Federal Bureau of Investigation (FBI).
  • B. John
    John is the given name of the late American comedian and actor John Belushi, famed for his work on "Saturday Night Live" and in films like "Animal House" and "The Blues Brothers."
  • C. John
    John is the given name of the influential American jazz saxophonist and composer John Coltrane.
  • D. John
    John is the given name of John Stevens Henslow, the 19th-century English clergyman, botanist, and mentor to Charles Darwin.
  • E. John
    John is the birth name of American character actor Jack Warden, known for his prolific film and television career 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: John
Triple: [Sir John Tusa, givenName, John]
Generated description
John is the given name of Sir John Tusa, a prominent British arts administrator and former managing director of the BBC World Service and the Barbican Centre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of Sir John Tusa, a prominent British arts administrator and former managing director of the BBC World Service and the Barbican Centre.
  • A. John
    John is the given name of John Reith, the influential first Director-General of the BBC who shaped early public service broadcasting in the United Kingdom.
  • B. John
    John is the given name of John Reid, a prominent music executive known for managing artists such as Elton John and Queen.
  • C. John
    John is the given name of Sir John Barbirolli, a renowned 20th-century British conductor and cellist best known for his long association with the Hallé Orchestra.
  • D. John
    John is the given name of Sir John Anderson, a British civil servant and politician who played a key role in government during the early 20th century.
  • E. John
    John is the given name of Sir John Parker, a prominent British businessman and industrialist known for leading several major UK companies.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c4680481908628d22bbe4842f4 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdef32d4c8190a2e5c76d2db6c45f completed March 31, 2026, 2:49 p.m.
NEDg Description generation batch_69cbe436e20481908b297cd94eafbeec completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc0c32aac081909cdd0d69cacdd27f completed March 31, 2026, 6:02 p.m.
Created at: March 30, 2026, 4:47 p.m.