Triple
T8938778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold George Bellanfanti Jr. |
E212842
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Pamela Frank
Pamela Frank is an acclaimed American violinist and educator known for her distinguished solo and chamber music career.
|
E263376
|
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 Frank | Statement: [Harold George Bellanfanti Jr., spouse, Pamela Frank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pamela Frank Context triple: [Harold George Bellanfanti Jr., spouse, Pamela Frank]
-
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.
Pamela Franklin
Pamela Franklin is a British actress best known for her work as a child and young adult in 1960s and 1970s films and television, particularly in psychological horror and drama.
-
D.
Pamela Addison
Pamela Addison is known as the wife of John Addison.
-
E.
Pamela Danova
Pamela Danova is known as the spouse of Italian-American actor Cesare Danova.
- 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 Frank Triple: [Harold George Bellanfanti Jr., spouse, Pamela Frank]
Generated description
Pamela Frank is an acclaimed American violinist and educator known for her distinguished solo and chamber music career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pamela Frank Target entity description: Pamela Frank is an acclaimed American violinist and educator known for her distinguished solo and chamber music career.
-
A.
Pamela Frank
chosen
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.
Pamela Franklin
Pamela Franklin is a British actress best known for her work as a child and young adult in 1960s and 1970s films and television, particularly in psychological horror and drama.
-
D.
Pamela Addison
Pamela Addison is known as the wife of John Addison.
-
E.
Pamela Danova
Pamela Danova is known as the spouse of Italian-American actor Cesare Danova.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b57a348190979effe4f9998eb7 |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1eb308c81909f5be133c75ad568 |
completed | April 3, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69cfc24b4fe481909b7c4f58b787a21e |
completed | April 3, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc33fbedc8190a8f04ec6f43891f0 |
completed | April 3, 2026, 1:40 p.m. |
Created at: March 30, 2026, 6:58 p.m.