Triple
T1124709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Sanders |
E24692
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Susan Larson
Susan Larson is known as the wife of English actor and singer George Sanders.
|
E166483
|
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 Larson | Statement: [George Sanders, spouse, Susan Larson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Larson Context triple: [George Sanders, spouse, Susan Larson]
-
A.
Katherine Lester
Katherine Lester is a central character in the period drama film "Lady Macbeth," known for her intense and morally complex journey portrayed by Florence Pugh.
-
B.
Laura Hawkins
Laura Hawkins was a childhood friend and early love interest of Mark Twain whose personality and experiences inspired the character Becky Thatcher in "The Adventures of Tom Sawyer."
-
C.
Adrienne Nesser
Adrienne Nesser is an American activist and former boutique owner best known as the longtime wife of Green Day frontman Billie Joe Armstrong.
-
D.
Judith Nelson
Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
-
E.
Lynne Haldeman
Lynne Haldeman is a member of the Musk family and the sister of model and dietitian Maye Musk, making her an aunt of entrepreneur Elon Musk.
- 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 Larson Triple: [George Sanders, spouse, Susan Larson]
Generated description
Susan Larson is known as the wife of English actor and singer George Sanders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Larson Target entity description: Susan Larson is known as the wife of English actor and singer George Sanders.
-
A.
Katherine Lester
Katherine Lester is a central character in the period drama film "Lady Macbeth," known for her intense and morally complex journey portrayed by Florence Pugh.
-
B.
Laura Hawkins
Laura Hawkins was a childhood friend and early love interest of Mark Twain whose personality and experiences inspired the character Becky Thatcher in "The Adventures of Tom Sawyer."
-
C.
Adrienne Nesser
Adrienne Nesser is an American activist and former boutique owner best known as the longtime wife of Green Day frontman Billie Joe Armstrong.
-
D.
Judith Nelson
Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
-
E.
Lynne Haldeman
Lynne Haldeman is a member of the Musk family and the sister of model and dietitian Maye Musk, making her an aunt of entrepreneur Elon Musk.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e5bc6348190a0d23fe269707e1b |
completed | March 8, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69ad0eff5f7c81908e9bfdeb1819aa2a |
completed | March 8, 2026, 5:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0f5c864c8190874a413ac67ba43a |
completed | March 8, 2026, 5:55 a.m. |
Created at: March 1, 2026, 7:44 p.m.