Triple
T1826452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sacramento River Cats |
E40663
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object |
Susan Savage
Susan Savage is a businesswoman best known as the longtime managing owner and leader of the Sacramento River Cats minor league baseball franchise.
|
E212919
|
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 Savage | Statement: [Sacramento River Cats, owner, Susan Savage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Savage Context triple: [Sacramento River Cats, owner, Susan Savage]
-
A.
Susan Saunders
Susan Saunders is the daughter of classic Hollywood actress Fay Wray, best known for her iconic role in the 1933 film "King Kong."
-
B.
Susan Sherwin
Susan Sherwin is a Canadian feminist philosopher and bioethicist known for her influential work on ethics, health care, and women's autonomy.
-
C.
Ann Sadler
Ann Sadler was the wife of John Harvard, the English clergyman and benefactor after whom Harvard University is named.
-
D.
Carol Stevens
Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
-
E.
Deborah Prentice
Deborah Prentice is an American social psychologist and academic leader known for her work on social norms and for serving as Vice-Chancellor of the University of Cambridge.
- 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 Savage Triple: [Sacramento River Cats, owner, Susan Savage]
Generated description
Susan Savage is a businesswoman best known as the longtime managing owner and leader of the Sacramento River Cats minor league baseball franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Savage Target entity description: Susan Savage is a businesswoman best known as the longtime managing owner and leader of the Sacramento River Cats minor league baseball franchise.
-
A.
Susan Saunders
Susan Saunders is the daughter of classic Hollywood actress Fay Wray, best known for her iconic role in the 1933 film "King Kong."
-
B.
Susan Sherwin
Susan Sherwin is a Canadian feminist philosopher and bioethicist known for her influential work on ethics, health care, and women's autonomy.
-
C.
Ann Sadler
Ann Sadler was the wife of John Harvard, the English clergyman and benefactor after whom Harvard University is named.
-
D.
Carol Stevens
Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
-
E.
Deborah Prentice
Deborah Prentice is an American social psychologist and academic leader known for her work on social norms and for serving as Vice-Chancellor of the University of Cambridge.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb01022108190b1da05a31454ab8d |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adead6888081909f89704f0c070d68 |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adebc28ae88190bd954d9634f08059 |
completed | March 8, 2026, 9:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec25a87081908f098df81de6eafb |
completed | March 8, 2026, 9:37 p.m. |
Created at: March 4, 2026, 7:32 p.m.