Triple
T1361360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Jay Lerner |
E29103
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Nancy Olson
Nancy Olson is an American actress best known for her Academy Award–nominated role in the classic film "Sunset Boulevard."
|
E177422
|
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: Nancy Olson | Statement: [Alan Jay Lerner, spouse, Nancy Olson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Olson Context triple: [Alan Jay Lerner, spouse, Nancy Olson]
-
A.
JoBeth Williams
JoBeth Williams is an American actress known for her roles in films such as "Poltergeist," "The Big Chill," and numerous television movies and series.
-
B.
Cindy Williams
Cindy Williams was an American actress best known for her role as Shirley Feeney on the hit television sitcom "Laverne & Shirley."
-
C.
Maud Adams
Maud Adams is a Swedish actress best known for her roles as Bond girls in the James Bond films "The Man with the Golden Gun" and "Octopussy."
-
D.
Bonnie Swanson
Bonnie Swanson is a recurring character on the animated sitcom Family Guy, known as Joe Swanson’s soft-spoken, long-pregnant wife and neighbor of the Griffin family.
-
E.
Patty Fenn
Patty Fenn is a television producer and key character in the film "Money Monster," where she manages the chaotic live broadcast at the center of the story.
- 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: Nancy Olson Triple: [Alan Jay Lerner, spouse, Nancy Olson]
Generated description
Nancy Olson is an American actress best known for her Academy Award–nominated role in the classic film "Sunset Boulevard."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nancy Olson Target entity description: Nancy Olson is an American actress best known for her Academy Award–nominated role in the classic film "Sunset Boulevard."
-
A.
JoBeth Williams
JoBeth Williams is an American actress known for her roles in films such as "Poltergeist," "The Big Chill," and numerous television movies and series.
-
B.
Cindy Williams
Cindy Williams was an American actress best known for her role as Shirley Feeney on the hit television sitcom "Laverne & Shirley."
-
C.
Maud Adams
Maud Adams is a Swedish actress best known for her roles as Bond girls in the James Bond films "The Man with the Golden Gun" and "Octopussy."
-
D.
Bonnie Swanson
Bonnie Swanson is a recurring character on the animated sitcom Family Guy, known as Joe Swanson’s soft-spoken, long-pregnant wife and neighbor of the Griffin family.
-
E.
Patty Fenn
Patty Fenn is a television producer and key character in the film "Money Monster," where she manages the chaotic live broadcast at the center of the story.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2b2fb448190bef31375169b4666 |
completed | March 1, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad36f900848190bb00cd7ad8eada60 |
completed | March 8, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_69ad38706fcc81909e42a6a713605237 |
completed | March 8, 2026, 8:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad38c50fd8819087cce60b83017766 |
completed | March 8, 2026, 8:52 a.m. |
Created at: March 1, 2026, 7:57 p.m.