Triple
T3473414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Frost |
E73313
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lynne Frederick
Lynne Frederick was a British actress and model best known for her film roles in the 1970s and for being the last wife of comedian Peter Sellers.
|
E373393
|
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: Lynne Frederick | Statement: [David Frost, spouse, Lynne Frederick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lynne Frederick Context triple: [David Frost, spouse, Lynne Frederick]
-
A.
Laura Ricketts
Laura Ricketts is an American attorney, co-owner of the Chicago Cubs, and prominent LGBTQ+ activist and political donor.
-
B.
Lorraine Miller
Lorraine Miller was an American actress and dancer active in Hollywood films during the 1940s and 1950s.
-
C.
Lyn Davis
Lyn Davis is best known as the wife of influential American television writer and producer Norman Lear.
-
D.
Lynne Overman
Lynne Overman was an American character actor of the 1930s and 1940s, known for his supporting roles in Hollywood films and his distinctive, wisecracking screen persona.
-
E.
Lynn Bari
Lynn Bari was an American film and television actress known for her sultry screen presence and frequent roles as the glamorous "other woman" in 1940s Hollywood movies.
- 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: Lynne Frederick Triple: [David Frost, spouse, Lynne Frederick]
Generated description
Lynne Frederick was a British actress and model best known for her film roles in the 1970s and for being the last wife of comedian Peter Sellers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lynne Frederick Target entity description: Lynne Frederick was a British actress and model best known for her film roles in the 1970s and for being the last wife of comedian Peter Sellers.
-
A.
Laura Ricketts
Laura Ricketts is an American attorney, co-owner of the Chicago Cubs, and prominent LGBTQ+ activist and political donor.
-
B.
Lorraine Miller
Lorraine Miller was an American actress and dancer active in Hollywood films during the 1940s and 1950s.
-
C.
Lyn Davis
Lyn Davis is best known as the wife of influential American television writer and producer Norman Lear.
-
D.
Lynne Overman
Lynne Overman was an American character actor of the 1930s and 1940s, known for his supporting roles in Hollywood films and his distinctive, wisecracking screen persona.
-
E.
Lynn Bari
Lynn Bari was an American film and television actress known for her sultry screen presence and frequent roles as the glamorous "other woman" in 1940s Hollywood movies.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb3e03e081908aa09291bbf351bd |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b432f3af6c8190ba09e3ab8fbad7da |
completed | March 13, 2026, 3:53 p.m. |
| NEDg | Description generation | batch_69b43757dd1481909bce2fe5b57234eb |
completed | March 13, 2026, 4:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b437e30620819098f7a9e7fe33d4cd |
completed | March 13, 2026, 4:14 p.m. |
Created at: March 8, 2026, 3:17 p.m.