Triple

T23406576
Position Surface form Disambiguated ID Type / Status
Subject John Rayburn E559950 entity
Predicate givenName P17 FINISHED
Object John
John is the first name of John Rayburn, a central character in the television drama series "Bloodline."
E1586066 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 Rayburn, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Rayburn, givenName, John]
  • A. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • B. John
    John is the given name of American actor John Dall, known for his roles in classic films such as "Rope" and "Gun Crazy."
  • C. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • D. John
    John is the given name of John Eales, the renowned former Australian rugby union captain and World Cup winner.
  • E. John
    John, Duke of Berry, was a powerful 14th-century French prince renowned as a major patron of the arts, especially for commissioning lavish illuminated manuscripts such as the Très Riches Heures.
  • 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 Rayburn, givenName, John]
Generated description
John is the first name of John Rayburn, a central character in the television drama series "Bloodline."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the first name of John Rayburn, a central character in the television drama series "Bloodline."
  • A. John
    John is the first name of American actor Theo Rossi, known for his roles in series like "Sons of Anarchy" and "Luke Cage."
  • B. John
    John is a fictional character named John Knox from the television series "Lantana."
  • C. John
    John is the given name of the fictional character John-Boy Walton from the television series "The Waltons."
  • D. John
    John is the first name of American actor and producer Scoot McNairy, known for his roles in films like "Argo" and the series "Halt and Catch Fire."
  • E. John
    John is the first name of John Marston, the iconic outlaw protagonist from the Red Dead Redemption video game series.
  • 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a50e607c8190ba0a22e89862a2d9 completed April 29, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c6786c9348190b2a7ceed7bcb0ef9 completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c7213e19881909151fe5c0560e096 completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76e904b08190a5329a3ed56291dc completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:38 p.m.