Triple
T6610015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O'Leary |
E149213
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Margaret O'Leary
Margaret O'Leary is an Irish-born American nurse and educator known for her contributions to nursing practice and education in the United States.
|
E641075
|
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: Margaret O'Leary | Statement: [O'Leary, hasNotableBearer, Margaret O'Leary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret O'Leary Context triple: [O'Leary, hasNotableBearer, Margaret O'Leary]
-
A.
Margaret McGrath
Margaret McGrath was an American philanthropist and the first wife of U.S. Vice President Nelson A. Rockefeller.
-
B.
Mary McCleary
Mary McCleary is best known as the wife of famed American automobile executive Lee Iacocca.
-
C.
Maureen Callahan
Maureen Callahan is an American journalist, author, and pop culture critic known for her work with publications like the New York Post and her commentary on celebrity and cultural trends.
-
D.
Margaret Hogan
Margaret Hogan was the wife of legendary Major League Baseball manager and team owner Connie Mack.
-
E.
Shirley Sullivan
Shirley Sullivan is best known as the mother of American actor Cuba Gooding Jr.
- 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: Margaret O'Leary Triple: [O'Leary, hasNotableBearer, Margaret O'Leary]
Generated description
Margaret O'Leary is an Irish-born American nurse and educator known for her contributions to nursing practice and education in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Margaret O'Leary Target entity description: Margaret O'Leary is an Irish-born American nurse and educator known for her contributions to nursing practice and education in the United States.
-
A.
Margaret McGrath
Margaret McGrath was an American philanthropist and the first wife of U.S. Vice President Nelson A. Rockefeller.
-
B.
Mary McCleary
Mary McCleary is best known as the wife of famed American automobile executive Lee Iacocca.
-
C.
Maureen Callahan
Maureen Callahan is an American journalist, author, and pop culture critic known for her work with publications like the New York Post and her commentary on celebrity and cultural trends.
-
D.
Margaret Hogan
Margaret Hogan was the wife of legendary Major League Baseball manager and team owner Connie Mack.
-
E.
Shirley Sullivan
Shirley Sullivan is best known as the mother of American actor Cuba Gooding Jr.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af3301dc819082d427675c36aaa6 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7942437bc8190808e60d12b98dcf5 |
completed | March 28, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69c796720c388190b360d691aef39761 |
completed | March 28, 2026, 8:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c797288eb48190b994452884b05109 |
completed | March 28, 2026, 8:54 a.m. |
Created at: March 27, 2026, 1:57 p.m.