Triple
T10121718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Winninger |
E223306
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Winninger
Winninger is a surname most notably associated with American character actor Charles Winninger, known for his work in early 20th-century stage and film.
|
E842564
|
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: Winninger | Statement: [Charles Winninger, familyName, Winninger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winninger Context triple: [Charles Winninger, familyName, Winninger]
-
A.
Winer
Winer is a surname most notably associated with Dave Winer, an influential software developer and pioneer of blogging and RSS technologies.
-
B.
Wersing
Wersing is a lesser-known Papuan language spoken on the Alor–Pantar archipelago in eastern Indonesia.
-
C.
Biedenharn
Biedenharn is a surname most notably associated with Joseph A. Biedenharn, an early bottler of Coca-Cola and prominent American businessman.
-
D.
Berninger
Berninger is a German-origin surname most notably associated with Matt Berninger, the lead singer of the indie rock band The National.
-
E.
Seelbach
Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
- 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: Winninger Triple: [Charles Winninger, familyName, Winninger]
Generated description
Winninger is a surname most notably associated with American character actor Charles Winninger, known for his work in early 20th-century stage and film.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Winninger Target entity description: Winninger is a surname most notably associated with American character actor Charles Winninger, known for his work in early 20th-century stage and film.
-
A.
Winer
Winer is a surname most notably associated with Dave Winer, an influential software developer and pioneer of blogging and RSS technologies.
-
B.
Wersing
Wersing is a lesser-known Papuan language spoken on the Alor–Pantar archipelago in eastern Indonesia.
-
C.
Biedenharn
Biedenharn is a surname most notably associated with Joseph A. Biedenharn, an early bottler of Coca-Cola and prominent American businessman.
-
D.
Berninger
Berninger is a German-origin surname most notably associated with Matt Berninger, the lead singer of the indie rock band The National.
-
E.
Seelbach
Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
- 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_69ca8422047c81909d66b717b8b18cf3 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd266b18c8190b35fe637c912e756 |
completed | April 2, 2026, 2:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc493db88190b3b09a77b82b3cc9 |
completed | April 5, 2026, 8:55 p.m. |
| NEDg | Description generation | batch_69d2cd901c148190afb27759cc176f89 |
completed | April 5, 2026, 9:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2ce6da82081908ca6b3621971ca9a |
completed | April 5, 2026, 9:04 p.m. |
Created at: March 30, 2026, 9:04 p.m.