Triple
T16913223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Wettig |
E410253
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Wettig
Wettig is a surname most notably associated with American actress and playwright Patricia Wettig.
|
E1239842
|
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: Wettig | Statement: [Patricia Wettig, familyName, Wettig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wettig Context triple: [Patricia Wettig, familyName, Wettig]
-
A.
Wittlich
Wittlich is a small town in the Rhineland-Palatinate region of western Germany, known for its wine production and historic old town.
-
B.
Wimberg
Wimberg is a district or neighborhood within the town of Calw in the state of Baden-Württemberg, Germany.
-
C.
Wipfeld
Wipfeld is a small municipality in northern Bavaria, Germany, situated along the Main River and known for its winegrowing and historic Franconian character.
-
D.
Wartenburg
Wartenburg is the former German name of the town now known as Barczewo in northeastern Poland, historically part of East Prussia.
-
E.
Wartenberg
Wartenberg is a locality in the northeastern part of Berlin, Germany, known for its residential areas and proximity to green spaces.
- 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: Wettig Triple: [Patricia Wettig, familyName, Wettig]
Generated description
Wettig is a surname most notably associated with American actress and playwright Patricia Wettig.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wettig Target entity description: Wettig is a surname most notably associated with American actress and playwright Patricia Wettig.
-
A.
Wittlich
Wittlich is a small town in the Rhineland-Palatinate region of western Germany, known for its wine production and historic old town.
-
B.
Wimberg
Wimberg is a district or neighborhood within the town of Calw in the state of Baden-Württemberg, Germany.
-
C.
Wipfeld
Wipfeld is a small municipality in northern Bavaria, Germany, situated along the Main River and known for its winegrowing and historic Franconian character.
-
D.
Wartenburg
Wartenburg is the former German name of the town now known as Barczewo in northeastern Poland, historically part of East Prussia.
-
E.
Wartenberg
Wartenberg is a locality in the northeastern part of Berlin, Germany, known for its residential areas and proximity to green spaces.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3e6b9481909fbaeb0bddd7e3b2 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7be679c8190b9d0b0b9cfe185d3 |
completed | May 10, 2026, 6 p.m. |
| NEDg | Description generation | batch_6a00c9059a2c819099ede5a7b6e25b18 |
completed | May 10, 2026, 6:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c9d1c6a0819083635b8246cc82e7 |
completed | May 10, 2026, 6:09 p.m. |
Created at: April 10, 2026, 5:30 a.m.