Triple
T7784666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caroline Elizabeth DeWint |
E187210
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Elizabeth
Elizabeth is the given name of Caroline Elizabeth DeWint, a 19th-century figure identifiable by this personal name.
|
E693535
|
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: [Caroline Elizabeth DeWint, givenName, Elizabeth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Context triple: [Caroline Elizabeth DeWint, givenName, Elizabeth]
-
A.
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.
-
B.
Elizabeth
"Elizabeth" is a popular country and gospel song by The Statler Brothers, known for its rich harmonies and storytelling lyrics.
-
C.
Elizabeth
Elizabeth is the given first name of American silent film actress Betty Bronson, known for her role as Peter Pan in the 1924 film adaptation.
-
D.
Elizabeth
Elizabeth is the central protagonist of the interactive narrative game "If/Then," around whom the story’s key choices and emotional developments revolve.
-
E.
Elizabeth
Elizabeth is the middle name of Lucy Elizabeth Jefferson, a member of the Jefferson family associated with early American history.
- 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: [Caroline Elizabeth DeWint, givenName, Elizabeth]
Generated description
Elizabeth is the given name of Caroline Elizabeth DeWint, a 19th-century figure identifiable by this personal name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Target entity description: Elizabeth is the given name of Caroline Elizabeth DeWint, a 19th-century figure identifiable by this personal name.
-
A.
Elizabeth
Elizabeth is the given name of the renowned Victorian-era English poet Elizabeth Barrett Browning.
-
B.
Elizabeth
Elizabeth is the middle name of Diane Elizabeth Dern, an individual likely known in relation to the Dern family.
-
C.
Elizabeth
Elizabeth is the middle name of Lucy Elizabeth Jefferson, a member of the Jefferson family associated with early American history.
-
D.
Elizabeth
Elizabeth was the given name of Elizabeth Batts Cook, the wife of British explorer Captain James Cook.
-
E.
Elizabeth
Elizabeth is the full given name of American attorney and politician Liz Cheney, a prominent conservative figure and former U.S. Representative from Wyoming.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cadf210f508190b215a0ab95192689 |
completed | March 30, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf5f4fa6c8190a85ba9019c0e5345 |
completed | March 30, 2026, 10:15 p.m. |
| NEDg | Description generation | batch_69caf81ebde881909bd131da8987b449 |
completed | March 30, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cafa052d4481908b89f6001aa6ea01 |
completed | March 30, 2026, 10:32 p.m. |
Created at: March 30, 2026, 4:23 p.m.