Triple
T7733208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy Elizabeth Jefferson |
E175314
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object |
Elizabeth
Elizabeth is the middle name of Lucy Elizabeth Jefferson, a member of the Jefferson family associated with early American history.
|
E684938
|
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: Elizabeth | Statement: [Lucy Elizabeth Jefferson, middleName, Elizabeth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Context triple: [Lucy Elizabeth Jefferson, middleName, Elizabeth]
-
A.
Elizabeth
Elizabeth "Betty" Ford was the influential First Lady of the United States from 1974 to 1977, renowned for her advocacy on women's rights, breast cancer awareness, and addiction treatment.
-
B.
Elizabeth
Elizabeth is the first name of Elizabeth Bishop, the acclaimed American poet known for her precise language and vivid imagery.
-
C.
Elizabeth
Elizabeth was the given name of Elizabeth Batts Cook, the wife of British explorer Captain James Cook.
-
D.
Elizabeth
Elizabeth is a comedic, high-strung fiancée character in the 1974 Mel Brooks film "Young Frankenstein," known for her dramatic personality and memorable scenes.
-
E.
Elizabeth
Elizabeth of Bohemia was a 17th-century princess and philosopher known for her extensive correspondence with René Descartes and her influential critiques of his dualism.
- 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: Elizabeth Triple: [Lucy Elizabeth Jefferson, middleName, Elizabeth]
Generated description
Elizabeth is the middle name of Lucy Elizabeth Jefferson, a member of the Jefferson family associated with early American history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Target entity description: Elizabeth is the middle name of Lucy Elizabeth Jefferson, a member of the Jefferson family associated with early American history.
-
A.
Elizabeth
Elizabeth is the middle name of Diane Elizabeth Dern, an individual likely known in relation to the Dern family.
-
B.
Elizabeth
Elizabeth is the middle name of Lady Sarah Chatto, a British painter and member of the extended royal family.
-
C.
Elizabeth
Elizabeth is the given name of the renowned Victorian-era English poet Elizabeth Barrett Browning.
-
D.
Elizabeth
Elizabeth is the formal first name of Bess Truman, who served as First Lady of the United States as the wife of President Harry S. Truman.
-
E.
Elizabeth
Elizabeth is an alternate given name associated with Mary Surratt, the American boardinghouse owner convicted and executed for her role in the conspiracy to assassinate President Abraham Lincoln.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7033863d881909451a4f9675021a3 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b534b6588190885db4632b97775f |
completed | March 29, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69c8b6b440dc81908c4989ed86554ddf |
completed | March 29, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b77fbd448190a7d96aada94e818d |
completed | March 29, 2026, 5:24 a.m. |
Created at: March 27, 2026, 4:06 p.m.