Triple
T8659383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Addison |
E205506
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Pamela Addison
Pamela Addison is known as the wife of John Addison.
|
E752347
|
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: Pamela Addison | Statement: [John Addison, spouse, Pamela Addison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pamela Addison Context triple: [John Addison, spouse, Pamela Addison]
-
A.
Pamela Frank
Pamela Frank is the second wife of singer and civil rights activist Harry Belafonte, known primarily for her long-term marriage to the entertainer.
-
B.
Pamela Frank
Pamela Frank is an acclaimed American violinist renowned for her expressive performances and influential teaching career.
-
C.
Jane Nugent
Jane Nugent was the wife of influential Irish statesman and political philosopher Edmund Burke, known primarily through her association with his life and career.
-
D.
Jane Nugent
Jane Nugent is a personal name that may refer to multiple individuals, including historical or contemporary figures, rather than a single widely recognized public figure.
-
E.
Patricia Dane
Patricia Dane was an American film actress of the 1940s who appeared in several MGM productions and was briefly married to bandleader Tommy Dorsey.
- 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: Pamela Addison Triple: [John Addison, spouse, Pamela Addison]
Generated description
Pamela Addison is known as the wife of John Addison.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pamela Addison Target entity description: Pamela Addison is known as the wife of John Addison.
-
A.
Pamela Frank
Pamela Frank is an acclaimed American violinist renowned for her expressive performances and influential teaching career.
-
B.
Pamela Frank
Pamela Frank is the second wife of singer and civil rights activist Harry Belafonte, known primarily for her long-term marriage to the entertainer.
-
C.
Jane Nugent
Jane Nugent was the wife of influential Irish statesman and political philosopher Edmund Burke, known primarily through her association with his life and career.
-
D.
Jane Nugent
Jane Nugent is a personal name that may refer to multiple individuals, including historical or contemporary figures, rather than a single widely recognized public figure.
-
E.
Patricia Dane
Patricia Dane was an American film actress of the 1940s who appeared in several MGM productions and was briefly married to bandleader Tommy Dorsey.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc486ece68819089c74bdf98b64490 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf285de8c081908abca2189f206a40 |
completed | April 3, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_69cf2bcff84881908a7985fdf8189583 |
completed | April 3, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2ca1ddac8190a36367e6bba8e3c8 |
completed | April 3, 2026, 2:57 a.m. |
Created at: March 30, 2026, 6:30 p.m.