Triple
T10069456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophia Hull |
E213581
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object |
Sophia
Sophia is a feminine given name of Greek origin meaning "wisdom," widely used across many cultures and languages.
|
E390085
|
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: Sophia | Statement: [Sophia Hull, hasGivenName, Sophia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophia Context triple: [Sophia Hull, hasGivenName, Sophia]
-
A.
Sophia
Sophia of the Palatinate was a 17th-century German princess and Electress of Hanover, best known as the mother of King George I of Great Britain and a key figure in the Protestant succession to the British throne.
-
B.
Sophia
Sophia is a philosophical and theological concept signifying divine wisdom, often personified and associated with the rational principle of the cosmos.
-
C.
Sophia
"Sophia" is a lesser-known literary work by British novelist Anthony Hope, best known for his adventure classic "The Prisoner of Zenda."
-
D.
Sophia
Sophia is the young, unhappily married woman at the center of the historical romance and art-themed drama in "Tulip Fever."
-
E.
Sophia
Sophia is a small town located in Raleigh County in the southern part of West Virginia, United States.
- 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: Sophia Triple: [Sophia Hull, hasGivenName, Sophia]
Generated description
Sophia is a feminine given name of Greek origin meaning "wisdom," widely used across many cultures and languages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sophia Target entity description: Sophia is a feminine given name of Greek origin meaning "wisdom," widely used across many cultures and languages.
-
A.
Sophia
chosen
Sophia is a feminine given name of Greek origin meaning "wisdom," widely used across many cultures and languages.
-
B.
Sophia
Sophia is a philosophical and theological concept signifying divine wisdom, often personified and associated with the rational principle of the cosmos.
-
C.
Sophia
Sophia is a person whose given name is used in the full name Sophia Chew Nicklin Dallas.
-
D.
Sophia
Sophia is the given name of Queen Sofía of Spain, the former queen consort known for her long-standing role in the Spanish royal family and public life.
-
E.
Sophia
Sophia is the birth name of American actress Sylvia Sidney, a prominent film and stage performer of the 1930s and later character roles.
- F. None of above.
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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff8d9c08190bc030f1dcc696310 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29aa05cc881909f59178e9c6c01ef |
completed | April 5, 2026, 5:23 p.m. |
| NEDg | Description generation | batch_69d29b75634c819088c8ef750b1691d2 |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29f5007f88190b0330d1a8c551905 |
completed | April 5, 2026, 5:43 p.m. |
Created at: March 30, 2026, 8:58 p.m.