Triple
T243095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William J. Brennan Jr. |
E4974
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Marjorie Leonard Brennan
Marjorie Leonard Brennan was the wife of U.S. Supreme Court Justice William J. Brennan Jr.
|
E140192
|
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: Marjorie Leonard Brennan | Statement: [William J. Brennan Jr., spouse, Marjorie Leonard Brennan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marjorie Leonard Brennan Context triple: [William J. Brennan Jr., spouse, Marjorie Leonard Brennan]
-
A.
Jane Belson
Jane Belson was a British barrister best known as the wife of author Douglas Adams.
-
B.
Rachel Marron
Rachel Marron is a famous pop singer and actress who becomes the client and love interest of a former Secret Service agent in the romantic thriller film "The Bodyguard."
-
C.
Margo Anderson
Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
-
D.
Nancy Packard Burnett
Nancy Packard Burnett is an American philanthropist and member of the Packard family who has supported environmental, educational, and cultural initiatives.
-
E.
Marianne Gordon
Marianne Gordon is an American actress best known for her film and television work in the 1960s–1980s and for her former marriage to country music star Kenny Rogers.
- 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: Marjorie Leonard Brennan Triple: [William J. Brennan Jr., spouse, Marjorie Leonard Brennan]
Generated description
Marjorie Leonard Brennan was the wife of U.S. Supreme Court Justice William J. Brennan Jr.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marjorie Leonard Brennan Target entity description: Marjorie Leonard Brennan was the wife of U.S. Supreme Court Justice William J. Brennan Jr.
-
A.
Jane Belson
Jane Belson was a British barrister best known as the wife of author Douglas Adams.
-
B.
Rachel Marron
Rachel Marron is a famous pop singer and actress who becomes the client and love interest of a former Secret Service agent in the romantic thriller film "The Bodyguard."
-
C.
Margo Anderson
Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
-
D.
Nancy Packard Burnett
Nancy Packard Burnett is an American philanthropist and member of the Packard family who has supported environmental, educational, and cultural initiatives.
-
E.
Marianne Gordon
Marianne Gordon is an American actress best known for her film and television work in the 1960s–1980s and for her former marriage to country music star Kenny Rogers.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25cef84ac81908fcc175b7f89653b |
completed | Feb. 28, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac89e9da1481908837afa843a14510 |
completed | March 7, 2026, 8:26 p.m. |
| NEDg | Description generation | batch_69ac8a4d15788190948ece38d19bdd38 |
completed | March 7, 2026, 8:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac8af006088190a63e1e2105da3ad8 |
completed | March 7, 2026, 8:30 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.