Triple
T19288139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonya Walger |
E482367
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Walger
Walger is a surname most notably borne by English actress Sonya Walger, known for her roles in television and film.
|
E1367344
|
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: Walger | Statement: [Sonya Walger, familyName, Walger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walger Context triple: [Sonya Walger, familyName, Walger]
-
A.
Hildebrand
Hildebrand is the birth name of Pope Gregory VII, the 11th-century reformist pope central to the Investiture Controversy and the Gregorian Reforms.
-
B.
Welcker
Welcker is a German-language surname borne by various notable individuals, including figures in academia and the arts.
-
C.
Willigis
Willigis was a powerful 10th-century German churchman and statesman who rose from humble origins to become one of the most influential political and ecclesiastical figures of the Holy Roman Empire.
-
D.
Darré
Darré is a German surname most notably associated with Walter Darré, a leading agrarian ideologue and high-ranking official in Nazi Germany.
-
E.
Guerlinguetus
Guerlinguetus is a genus of tree squirrels within the tribe Sciurini, comprising several Neotropical squirrel species.
- 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: Walger Triple: [Sonya Walger, familyName, Walger]
Generated description
Walger is a surname most notably borne by English actress Sonya Walger, known for her roles in television and film.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Walger Target entity description: Walger is a surname most notably borne by English actress Sonya Walger, known for her roles in television and film.
-
A.
Hildebrand
Hildebrand is the birth name of Pope Gregory VII, the 11th-century reformist pope central to the Investiture Controversy and the Gregorian Reforms.
-
B.
Welcker
Welcker is a German-language surname borne by various notable individuals, including figures in academia and the arts.
-
C.
Willigis
Willigis was a powerful 10th-century German churchman and statesman who rose from humble origins to become one of the most influential political and ecclesiastical figures of the Holy Roman Empire.
-
D.
Darré
Darré is a German surname most notably associated with Walter Darré, a leading agrarian ideologue and high-ranking official in Nazi Germany.
-
E.
Guerlinguetus
Guerlinguetus is a genus of tree squirrels within the tribe Sciurini, comprising several Neotropical squirrel species.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc043fa481909bbe281a70fb508e |
completed | April 20, 2026, 10:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e82fe948190a2a07dd91c982423 |
completed | May 15, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_6a070f5712548190bdbcf10b36983411 |
completed | May 15, 2026, 12:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a070fbb93308190acc8625a78477b07 |
completed | May 15, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:30 p.m.