Triple

T14736772
Position Surface form Disambiguated ID Type / Status
Subject Lloyd Nolan E346230 entity
Predicate familyName P18 FINISHED
Object Nolan
Nolan is a common Irish-origin surname borne by numerous notable figures in fields such as film, sports, and politics.
E48157 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: Nolan | Statement: [Lloyd Nolan, familyName, Nolan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nolan
Context triple: [Lloyd Nolan, familyName, Nolan]
  • A. John
    John I, Count of Holland, was a medieval nobleman who ruled the County of Holland at the turn of the 14th century.
  • B. John
    John Brabourne was a British film and television producer and peer, known for producing works such as the 1979 adaptation of "Murder on the Orient Express."
  • C. John
    John is the given name of John Bowen, a British novelist and playwright known for his crime and speculative fiction.
  • D. John
    John is the given name of John Boyle O'Reilly, a 19th-century Irish-born poet, journalist, and civil rights activist who became influential in the United States.
  • E. John
    John is the given name of Sir John Lennard-Jones, a pioneering British theoretical chemist known for his work on intermolecular forces and the Lennard-Jones potential.
  • 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: Nolan
Triple: [Lloyd Nolan, familyName, Nolan]
Generated description
Nolan is a common Irish-origin surname borne by numerous notable figures in fields such as film, sports, and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nolan
Target entity description: Nolan is a common Irish-origin surname borne by numerous notable figures in fields such as film, sports, and politics.
  • A. Nolan chosen
    Nolan is a common Irish surname that has been borne by numerous notable figures across fields such as film, sports, and politics.
  • B. John
    John I, Count of Holland, was a medieval nobleman who ruled the County of Holland at the turn of the 14th century.
  • C. John
    John Brabourne was a British film and television producer and peer, known for producing works such as the 1979 adaptation of "Murder on the Orient Express."
  • D. John
    John is the given name of John Bowen, a British novelist and playwright known for his crime and speculative fiction.
  • E. John
    John is the given name of John Boyle O'Reilly, a 19th-century Irish-born poet, journalist, and civil rights activist who became influential in the United States.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73114cc819088e1101b689fc70b completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb90378481909a3083680f11101c completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fe0105fe8081909be6d790ba18693c completed May 8, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69fe01668bd88190a1db045fdad514ba completed May 8, 2026, 3:29 p.m.
Created at: April 10, 2026, 1:29 a.m.