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.