Triple
T14697608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suggs |
E345203
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Louise Suggs
Louise Suggs was an American professional golfer and one of the founders of the LPGA Tour, recognized as one of the greatest female golfers in history.
|
E1114778
|
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: Louise Suggs | Statement: [Suggs, hasNotableBearer, Louise Suggs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louise Suggs Context triple: [Suggs, hasNotableBearer, Louise Suggs]
-
A.
Mildred Morse
Mildred Morse was the wife of longtime U.S. Senator Wayne Morse and a supportive partner throughout his political career.
-
B.
Emily Wellesley
Emily Wellesley is a member of the British aristocratic Wellesley family, descended from Anne Hill-Trevor.
-
C.
Lucile E. Greene
Lucile E. Greene was an American writer and activist known for her work in civil rights and social justice.
-
D.
Margaret Hall
Margaret Hall is an actress best known for her role as a main cast member on the 1990s American television series "Remember WENN."
-
E.
Dorothy Yost
Dorothy Yost was an American screenwriter active during Hollywood’s early sound era, known for contributing to numerous studio films across genres.
- 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: Louise Suggs Triple: [Suggs, hasNotableBearer, Louise Suggs]
Generated description
Louise Suggs was an American professional golfer and one of the founders of the LPGA Tour, recognized as one of the greatest female golfers in history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Louise Suggs Target entity description: Louise Suggs was an American professional golfer and one of the founders of the LPGA Tour, recognized as one of the greatest female golfers in history.
-
A.
Mildred Morse
Mildred Morse was the wife of longtime U.S. Senator Wayne Morse and a supportive partner throughout his political career.
-
B.
Emily Wellesley
Emily Wellesley is a member of the British aristocratic Wellesley family, descended from Anne Hill-Trevor.
-
C.
Lucile E. Greene
Lucile E. Greene was an American writer and activist known for her work in civil rights and social justice.
-
D.
Margaret Hall
Margaret Hall is an actress best known for her role as a main cast member on the 1990s American television series "Remember WENN."
-
E.
Dorothy Yost
Dorothy Yost was an American screenwriter active during Hollywood’s early sound era, known for contributing to numerous studio films across genres.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb604f88081908a677175045496d0 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0841da48190991d5045954a32ab |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf1fd92948190914fe90c31ef7e15 |
completed | May 8, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf28897308190b1deb1ad1ef8a00c |
completed | May 8, 2026, 2:26 p.m. |
Created at: April 10, 2026, 1:28 a.m.