Triple
T17918463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William B. Ide |
E447998
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Susan Ide
Susan Ide was the wife of William B. Ide, the short-lived president of the California Republic during the Bear Flag Revolt of 1846.
|
E1296027
|
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 Ide | Statement: [William B. Ide, spouse, Susan Ide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Ide Context triple: [William B. Ide, spouse, Susan Ide]
-
A.
Carol Seaver
Carol Seaver is the intelligent, ambitious, and sometimes neurotic teenage daughter in the family sitcom "Growing Pains."
-
B.
Susan Hunt
Susan Hunt is a British model and socialite best known for her high-profile marriages to Formula One driver James Hunt and later actor Richard Burton.
-
C.
Sue Brown
Sue Brown is a spirited and charming young woman in P. G. Wodehouse’s Blandings Castle stories, notably involved in romantic and comedic entanglements.
-
D.
Susan Solt
Susan Solt is a film producer best known for her work on the 1991 romantic comedy "Doc Hollywood."
-
E.
Beverly Gage
Beverly Gage is an American historian and Yale professor known for her scholarship on 20th-century U.S. political history and her acclaimed biography of FBI director J. Edgar Hoover.
- 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 Ide Triple: [William B. Ide, spouse, Susan Ide]
Generated description
Susan Ide was the wife of William B. Ide, the short-lived president of the California Republic during the Bear Flag Revolt of 1846.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Ide Target entity description: Susan Ide was the wife of William B. Ide, the short-lived president of the California Republic during the Bear Flag Revolt of 1846.
-
A.
Carol Seaver
Carol Seaver is the intelligent, ambitious, and sometimes neurotic teenage daughter in the family sitcom "Growing Pains."
-
B.
Susan Hunt
Susan Hunt is a British model and socialite best known for her high-profile marriages to Formula One driver James Hunt and later actor Richard Burton.
-
C.
Sue Brown
Sue Brown is a spirited and charming young woman in P. G. Wodehouse’s Blandings Castle stories, notably involved in romantic and comedic entanglements.
-
D.
Susan Solt
Susan Solt is a film producer best known for her work on the 1991 romantic comedy "Doc Hollywood."
-
E.
Beverly Gage
Beverly Gage is an American historian and Yale professor known for her scholarship on 20th-century U.S. political history and her acclaimed biography of FBI director J. Edgar Hoover.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30844548190b7a43c2f093f35d7 |
completed | April 19, 2026, 9:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03212ea77c81908a3e2b4a2996f19d |
completed | May 12, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a0321f029d88190836ab7050090265b |
completed | May 12, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032295e63c8190a70639ace9d75760 |
completed | May 12, 2026, 12:52 p.m. |
Created at: April 10, 2026, 10:20 a.m.