Triple
T13620630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth of Denmark |
E325440
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Elizabeth
Elizabeth of Denmark was a 16th-century Danish princess who became Electress of Brandenburg through her marriage to Joachim II Hector.
|
E1050659
|
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: [Elizabeth of Denmark, givenName, Elizabeth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Context triple: [Elizabeth of Denmark, givenName, 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 middle name of Diane Elizabeth Dern, an individual likely known in relation to the Dern family.
-
C.
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.
-
D.
Elizabeth
Elizabeth is the middle name of Princess Beatrice of York, a member of the British royal family.
-
E.
Elizabeth
Elizabeth is the full given name of Betsy McCaughey, an American politician, writer, and former lieutenant governor of New York.
- 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: [Elizabeth of Denmark, givenName, Elizabeth]
Generated description
Elizabeth of Denmark was a 16th-century Danish princess who became Electress of Brandenburg through her marriage to Joachim II Hector.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Target entity description: Elizabeth of Denmark was a 16th-century Danish princess who became Electress of Brandenburg through her marriage to Joachim II Hector.
-
A.
Elizabeth
Elizabeth was a Greek and Danish princess of the early 20th century, born into the royal families of both Greece and Denmark.
-
B.
Elizabeth
Elizabeth was a German noblewoman who held the title of Landgravine of Hesse-Homburg.
-
C.
Elizabeth
Elizabeth was a medieval English noblewoman, the daughter of John of Gaunt and granddaughter of King Edward III.
-
D.
Elizabeth
Elizabeth of Rhuddlan was an English princess, the youngest daughter of King Edward I of England and Eleanor of Castile, known for her politically significant marriages into the nobility of Holland and Hereford.
-
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
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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0b0c9008190836242da2d6a8cbe |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f7fcab0819091146d54d56f08d7 |
completed | May 3, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69f78125632881908d601ee4c4aaae35 |
completed | May 3, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f781e32cb48190abc83e65405ac8ac |
completed | May 3, 2026, 5:12 p.m. |
Created at: April 9, 2026, 9:50 p.m.