Triple
T2626830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Knox Taylor |
E59137
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Margaret Taylor
Margaret Taylor was the First Lady of the United States from 1849 to 1850 as the wife of President Zachary Taylor.
|
E395284
|
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: Margaret Taylor | Statement: [Sarah Knox Taylor, mother, Margaret Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret Taylor Context triple: [Sarah Knox Taylor, mother, Margaret Taylor]
-
A.
Margaret Gibson
Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
-
B.
Margaret Tucker
Margaret Tucker was an Aboriginal Australian activist and one of the country’s first female Indigenous authors, known for her pioneering work in civil rights and welfare for Aboriginal people.
-
C.
Margaret Crow
Margaret Crow was an American philanthropist and art patron whose support and legacy are honored through the naming of the Crow Museum of Asian Art.
-
D.
Margaret Penn
Margaret Penn was a 17th-century Englishwoman best known as the daughter of Admiral Sir William Penn and sister of William Penn, the founder of Pennsylvania.
-
E.
Margaret Hartnett
Margaret Hartnett is a person notable enough to be recognized as a significant bearer of the surname Hartnett.
- 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: Margaret Taylor Triple: [Sarah Knox Taylor, mother, Margaret Taylor]
Generated description
Margaret Taylor was the First Lady of the United States from 1849 to 1850 as the wife of President Zachary Taylor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Margaret Taylor Target entity description: Margaret Taylor was the First Lady of the United States from 1849 to 1850 as the wife of President Zachary Taylor.
-
A.
Margaret Gibson
Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
-
B.
Margaret Tucker
Margaret Tucker was an Aboriginal Australian activist and one of the country’s first female Indigenous authors, known for her pioneering work in civil rights and welfare for Aboriginal people.
-
C.
Margaret Crow
Margaret Crow was an American philanthropist and art patron whose support and legacy are honored through the naming of the Crow Museum of Asian Art.
-
D.
Margaret Penn
Margaret Penn was a 17th-century Englishwoman best known as the daughter of Admiral Sir William Penn and sister of William Penn, the founder of Pennsylvania.
-
E.
Margaret Hartnett
Margaret Hartnett is a person notable enough to be recognized as a significant bearer of the surname Hartnett.
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8b3f72c819085e88f1d74495593 |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b511f37d188190b5604645960e3f11 |
completed | March 14, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69b51318c0348190a665648a19ea8b51 |
completed | March 14, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5137d9bb0819085be156826bc945a |
completed | March 14, 2026, 7:51 a.m. |
Created at: March 6, 2026, 9:50 p.m.