Triple
T10530706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George M. Low |
E248432
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Mary Ruth McNamara
Mary Ruth McNamara was the wife of NASA engineer and administrator George M. Low, a key figure in the U.S. space program.
|
E1029872
|
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 Ruth McNamara | Statement: [George M. Low, spouse, Mary Ruth McNamara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Ruth McNamara Context triple: [George M. Low, spouse, Mary Ruth McNamara]
-
A.
Mary Lynn
Mary Lynn is an American actress and comedian best known for her role as computer analyst Chloe O'Brian on the television series "24."
-
B.
Rose Mary Harbison
Rose Mary Harbison is an American violinist and educator known for her performances, teaching, and long association with composer John Harbison.
-
C.
Eileen Pardee
Eileen Pardee is known as the former spouse of Anthony Dryden Marshall, the American theatrical producer and son of philanthropist Brooke Astor.
-
D.
Elizabeth Peterson
Elizabeth Peterson is an actress known for her role in the fantasy action film "Avengers Grimm."
-
E.
Mary Beth Peil
Mary Beth Peil is an American actress and singer known for her work on Broadway, in film and television, and for originating prominent roles in major stage productions.
- 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 Ruth McNamara Triple: [George M. Low, spouse, Mary Ruth McNamara]
Generated description
Mary Ruth McNamara was the wife of NASA engineer and administrator George M. Low, a key figure in the U.S. space program.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Ruth McNamara Target entity description: Mary Ruth McNamara was the wife of NASA engineer and administrator George M. Low, a key figure in the U.S. space program.
-
A.
Mary Lynn
Mary Lynn is an American actress and comedian best known for her role as computer analyst Chloe O'Brian on the television series "24."
-
B.
Rose Mary Harbison
Rose Mary Harbison is an American violinist and educator known for her performances, teaching, and long association with composer John Harbison.
-
C.
Eileen Pardee
Eileen Pardee is known as the former spouse of Anthony Dryden Marshall, the American theatrical producer and son of philanthropist Brooke Astor.
-
D.
Elizabeth Peterson
Elizabeth Peterson is an actress known for her role in the fantasy action film "Avengers Grimm."
-
E.
Mary Beth Peil
Mary Beth Peil is an American actress and singer known for her work on Broadway, in film and television, and for originating prominent roles in major stage productions.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a16915c8190ac4f3fd5e43c5fed |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a0e90e48190af6b802697d3256f |
completed | May 3, 2026, 8:40 a.m. |
| NEDg | Description generation | batch_69f70c42d5008190bcd6275054637448 |
completed | May 3, 2026, 8:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70ce60a7081908f9498fcfec98e90 |
completed | May 3, 2026, 8:52 a.m. |
Created at: April 6, 2026, 12:30 p.m.