Triple
T18589277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Adams |
E454314
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Carol Nugent
Carol Nugent is an American former child actress known for her film and television roles in the 1940s and 1950s.
|
E1376955
|
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: Carol Nugent | Statement: [Nick Adams, spouse, Carol Nugent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carol Nugent Context triple: [Nick Adams, spouse, Carol Nugent]
-
A.
Nelle Nugent
Nelle Nugent is a prominent American theatrical producer known for her work on numerous acclaimed Broadway plays and productions.
-
B.
Nora McMullen
Nora McMullen was the wife of American financier and U.S. Treasury Secretary Andrew W. Mellon, known primarily for her marriage into the prominent Mellon family.
-
C.
Nancy McEldowney
Nancy McEldowney is an American diplomat and national security official who has held senior foreign policy roles in the U.S. government, including service as a top White House advisor.
-
D.
Donna Meagle
Donna Meagle is a confident, luxury-loving office administrator in the comedy series "Parks and Recreation," known for her sharp wit, "treat yo' self" mantra, and no-nonsense attitude.
-
E.
Donna Molloy
Donna Molloy is a film and television producer known for her work on the project "Care."
- 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: Carol Nugent Triple: [Nick Adams, spouse, Carol Nugent]
Generated description
Carol Nugent is an American former child actress known for her film and television roles in the 1940s and 1950s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carol Nugent Target entity description: Carol Nugent is an American former child actress known for her film and television roles in the 1940s and 1950s.
-
A.
Nelle Nugent
Nelle Nugent is a prominent American theatrical producer known for her work on numerous acclaimed Broadway plays and productions.
-
B.
Nora McMullen
Nora McMullen was the wife of American financier and U.S. Treasury Secretary Andrew W. Mellon, known primarily for her marriage into the prominent Mellon family.
-
C.
Nancy McEldowney
Nancy McEldowney is an American diplomat and national security official who has held senior foreign policy roles in the U.S. government, including service as a top White House advisor.
-
D.
Donna Meagle
Donna Meagle is a confident, luxury-loving office administrator in the comedy series "Parks and Recreation," known for her sharp wit, "treat yo' self" mantra, and no-nonsense attitude.
-
E.
Donna Molloy
Donna Molloy is a film and television producer known for her work on the project "Care."
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b4a2a0819098047ee81278bd9d |
completed | April 19, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a073b12c1c881908a0b6c056be81285 |
completed | May 15, 2026, 3:26 p.m. |
| NEDg | Description generation | batch_6a073c19c3b88190a6114d272ebd5fbc |
completed | May 15, 2026, 3:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073d25ba448190a62777b68d2f3136 |
completed | May 15, 2026, 3:35 p.m. |
Created at: April 10, 2026, 11:44 a.m.