Triple
T6021475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Jo Kopechne |
E134074
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Mary Jo
Mary Jo is the given name of Mary Jo Kopechne, the young political campaign specialist who died in the 1969 Chappaquiddick incident involving Senator Ted Kennedy.
|
E565225
|
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 Jo | Statement: [Mary Jo Kopechne, givenName, Mary Jo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Jo Context triple: [Mary Jo Kopechne, givenName, Mary Jo]
-
A.
Mary Ruth
Mary Ruth is a fictional character featured in the American television sitcom "The Debbie Reynolds Show."
-
B.
Mary Lou
Mary Lou is a technology innovator and entrepreneur best known for her pioneering work in display and imaging technologies, including co-founding One Laptop per Child and founding Openwater.
-
C.
Mary Jo Salter
Mary Jo Salter is an American poet, editor, and professor known for her formally accomplished, accessible verse and contributions to contemporary poetry.
-
D.
Mary Loos
Mary Loos was an American screenwriter and author known for her work in mid-20th-century Hollywood film and television.
-
E.
Mary Ellen
Mary Ellen is a feminine given name of English origin, often used as a compound of "Mary" and "Ellen."
- 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 Jo Triple: [Mary Jo Kopechne, givenName, Mary Jo]
Generated description
Mary Jo is the given name of Mary Jo Kopechne, the young political campaign specialist who died in the 1969 Chappaquiddick incident involving Senator Ted Kennedy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Jo Target entity description: Mary Jo is the given name of Mary Jo Kopechne, the young political campaign specialist who died in the 1969 Chappaquiddick incident involving Senator Ted Kennedy.
-
A.
Mary Ruth
Mary Ruth is a fictional character featured in the American television sitcom "The Debbie Reynolds Show."
-
B.
Mary Lou
Mary Lou is a technology innovator and entrepreneur best known for her pioneering work in display and imaging technologies, including co-founding One Laptop per Child and founding Openwater.
-
C.
Mary Jo Salter
Mary Jo Salter is an American poet, editor, and professor known for her formally accomplished, accessible verse and contributions to contemporary poetry.
-
D.
Mary Loos
Mary Loos was an American screenwriter and author known for her work in mid-20th-century Hollywood film and television.
-
E.
Mary Ellen
Mary Ellen is a feminine given name of English origin, often used as a compound of "Mary" and "Ellen."
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fba86a48190984e95d5adf7c7f1 |
completed | March 22, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1136da26081909b753fa8a2a91084 |
completed | March 23, 2026, 10:18 a.m. |
| NEDg | Description generation | batch_69c1174ff40c8190b19011a46eadea70 |
completed | March 23, 2026, 10:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c117a46d3881908267431287814acd |
completed | March 23, 2026, 10:36 a.m. |
Created at: March 22, 2026, 4:07 p.m.