Triple
T5843818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Scott Lord Dimmick Harrison |
E129658
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Mary
Mary is the given name of Mary Scott Lord Dimmick Harrison, the second wife of U.S. President Benjamin Harrison and former First Lady of the United States.
|
E549921
|
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 | Statement: [Mary Scott Lord Dimmick Harrison, givenName, Mary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Context triple: [Mary Scott Lord Dimmick Harrison, givenName, Mary]
-
A.
Mary
Mary is a significant urban and economic center in southeastern Turkmenistan, known for its role in the country’s natural gas and cotton industries.
-
B.
Mary
Mary is the given name of Mary Shelley, the English novelist best known as the author of "Frankenstein."
-
C.
Mary
Mary is the birth name of American actress Billie Burke, best known for playing Glinda the Good Witch in "The Wizard of Oz."
-
D.
Mary
Mary is the given name of Mary Church Terrell, a prominent African American civil rights activist, educator, and suffragist in the late 19th and early 20th centuries.
-
E.
Mary
Mary is the given first name of the silent film actress better known by her stage name Nita Naldi.
- 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 Triple: [Mary Scott Lord Dimmick Harrison, givenName, Mary]
Generated description
Mary is the given name of Mary Scott Lord Dimmick Harrison, the second wife of U.S. President Benjamin Harrison and former First Lady of the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Target entity description: Mary is the given name of Mary Scott Lord Dimmick Harrison, the second wife of U.S. President Benjamin Harrison and former First Lady of the United States.
-
A.
Mary
Mary is the given first name of Margaret Truman, the daughter of U.S. President Harry S. Truman and a noted author and singer.
-
B.
Mary
Mary is the given name of Mary Lincoln Beckwith, a granddaughter of U.S. President Abraham Lincoln.
-
C.
Mary
Mary is the given name of Mary Church Terrell, a prominent African American civil rights activist, educator, and suffragist in the late 19th and early 20th centuries.
-
D.
Mary
Mary is the given name of Mary Cassatt, the renowned American Impressionist painter known for her depictions of women and children.
-
E.
Mary
Mary is the given name of Mary Everest Boole, a 19th-century mathematics educator known for her innovative ideas on teaching mathematics, especially to children.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034db104881908c230de0e869f64b |
completed | March 22, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1a6587c8190b76b1005178c29a9 |
completed | March 23, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69c0a2bd6cdc819096c6829dc8d5d61e |
completed | March 23, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a323d9248190aa803c27be3d5eec |
completed | March 23, 2026, 2:19 a.m. |
Created at: March 22, 2026, 3:55 p.m.