Triple
T6975331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leahy |
E161701
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Mary T. Leahy
Mary T. Leahy is a notable individual recognized for her association with the surname Leahy, likely distinguished in a professional or public capacity.
|
E664172
|
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: Mary T. Leahy | Statement: [Leahy, hasNotableBearer, Mary T. Leahy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary T. Leahy Context triple: [Leahy, hasNotableBearer, Mary T. Leahy]
-
A.
Olive E. Kenny
Olive E. Kenny was a translator known for rendering works such as Naguib Mahfouz’s novel "Sugar Street" into English.
-
B.
Mary Healy
Mary Healy was an American actress and singer known for her work in film, television, and on stage, often performing alongside her husband, entertainer Peter Lind Hayes.
-
C.
April H. Foley
April H. Foley is an American diplomat and public servant best known for serving as the U.S. Ambassador to Hungary.
-
D.
Mary McCleary
Mary McCleary is best known as the wife of famed American automobile executive Lee Iacocca.
-
E.
Mary Ann Deming
Mary Ann Deming was the wife of American railroad executive and "Big Four" tycoon Charles Crocker, associated with the development of the Central Pacific Railroad.
- 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: Mary T. Leahy Triple: [Leahy, hasNotableBearer, Mary T. Leahy]
Generated description
Mary T. Leahy is a notable individual recognized for her association with the surname Leahy, likely distinguished in a professional or public capacity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary T. Leahy Target entity description: Mary T. Leahy is a notable individual recognized for her association with the surname Leahy, likely distinguished in a professional or public capacity.
-
A.
Olive E. Kenny
Olive E. Kenny was a translator known for rendering works such as Naguib Mahfouz’s novel "Sugar Street" into English.
-
B.
Mary Healy
Mary Healy was an American actress and singer known for her work in film, television, and on stage, often performing alongside her husband, entertainer Peter Lind Hayes.
-
C.
April H. Foley
April H. Foley is an American diplomat and public servant best known for serving as the U.S. Ambassador to Hungary.
-
D.
Mary McCleary
Mary McCleary is best known as the wife of famed American automobile executive Lee Iacocca.
-
E.
Mary Ann Deming
Mary Ann Deming was the wife of American railroad executive and "Big Four" tycoon Charles Crocker, associated with the development of the Central Pacific Railroad.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db3d3ab08190b107f3229c357dd2 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ea4f7f081909c94b7062c0d4dde |
completed | March 28, 2026, 6:32 p.m. |
| NEDg | Description generation | batch_69c81f54f95081909e8b35541b78b3ff |
completed | March 28, 2026, 6:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c81fd4d67481909f6b23edae0392ee |
completed | March 28, 2026, 6:37 p.m. |
Created at: March 27, 2026, 2:31 p.m.