Triple
T2299546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merlin Olsen |
E51696
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Susan Wakley
Susan Wakley is best known as the wife of Pro Football Hall of Famer and longtime sportscaster Merlin Olsen.
|
E364584
|
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: Susan Wakley | Statement: [Merlin Olsen, spouse, Susan Wakley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Wakley Context triple: [Merlin Olsen, spouse, Susan Wakley]
-
A.
Lesley Laird
Lesley Laird is a Scottish Labour politician who served as a Member of Parliament and has been involved in UK and Scottish politics, including holding frontbench roles in the Labour Party.
-
B.
Maryanne Vollers
Maryanne Vollers is an American author, journalist, and ghostwriter known for collaborating on high-profile political and human rights memoirs.
-
C.
Ann Sadler
Ann Sadler was the wife of John Harvard, the English clergyman and benefactor after whom Harvard University is named.
-
D.
Liz Watts
Liz Watts is an Australian film and television producer known for her work on acclaimed projects such as the crime drama film "Animal Kingdom."
-
E.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
- 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: Susan Wakley Triple: [Merlin Olsen, spouse, Susan Wakley]
Generated description
Susan Wakley is best known as the wife of Pro Football Hall of Famer and longtime sportscaster Merlin Olsen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Wakley Target entity description: Susan Wakley is best known as the wife of Pro Football Hall of Famer and longtime sportscaster Merlin Olsen.
-
A.
Lesley Laird
Lesley Laird is a Scottish Labour politician who served as a Member of Parliament and has been involved in UK and Scottish politics, including holding frontbench roles in the Labour Party.
-
B.
Maryanne Vollers
Maryanne Vollers is an American author, journalist, and ghostwriter known for collaborating on high-profile political and human rights memoirs.
-
C.
Ann Sadler
Ann Sadler was the wife of John Harvard, the English clergyman and benefactor after whom Harvard University is named.
-
D.
Liz Watts
Liz Watts is an Australian film and television producer known for her work on acclaimed projects such as the crime drama film "Animal Kingdom."
-
E.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5ec3c948190b47ea763812a1cf5 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e38ff2881909490b7b20deb149b |
completed | March 13, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_69b37f44417481908dc7e04dc112d900 |
completed | March 13, 2026, 3:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b37fa6b5c08190bb598c77c526df13 |
completed | March 13, 2026, 3:08 a.m. |
Created at: March 4, 2026, 7:49 p.m.