Triple
T14646205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Weiss |
E343855
|
entity |
| Predicate | nameComponentOrigin |
P3325
|
FINISHED |
| Object |
Weiss is of German origin
Weiss is a German-origin surname commonly associated with people of German-speaking heritage.
|
E1111562
|
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: Weiss is of German origin | Statement: [Harold Weiss, nameComponentOrigin, Weiss is of German origin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weiss is of German origin Context triple: [Harold Weiss, nameComponentOrigin, Weiss is of German origin]
-
A.
Heinrich (German surname)
Heinrich is a German surname derived from the given name Heinrich, itself the German form of Henry.
-
B.
Bernard is of Germanic origin
Bernard is of Germanic origin is a statement indicating that the given name Bernard derives from ancient Germanic linguistic roots.
-
C.
Mueller (German surname)
Mueller is a common German occupational surname, equivalent to the English "Miller," historically referring to someone who operated a mill.
-
D.
Issime German
Issime German is a highly distinctive Walser German dialect spoken in the village of Issime in the Aosta Valley of northwestern Italy.
-
E.
Weiss/Manfredi
Weiss/Manfredi is a New York–based architecture and design firm known for its innovative, landscape-integrated cultural and institutional projects.
- 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: Weiss is of German origin Triple: [Harold Weiss, nameComponentOrigin, Weiss is of German origin]
Generated description
Weiss is a German-origin surname commonly associated with people of German-speaking heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weiss is of German origin Target entity description: Weiss is a German-origin surname commonly associated with people of German-speaking heritage.
-
A.
Heinrich (German surname)
Heinrich is a German surname derived from the given name Heinrich, itself the German form of Henry.
-
B.
Bernard is of Germanic origin
Bernard is of Germanic origin is a statement indicating that the given name Bernard derives from ancient Germanic linguistic roots.
-
C.
Mueller (German surname)
Mueller is a common German occupational surname, equivalent to the English "Miller," historically referring to someone who operated a mill.
-
D.
Issime German
Issime German is a highly distinctive Walser German dialect spoken in the village of Issime in the Aosta Valley of northwestern Italy.
-
E.
Weiss/Manfredi
Weiss/Manfredi is a New York–based architecture and design firm known for its innovative, landscape-integrated cultural and institutional projects.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ebe8048190a2935d00c9cfd8be |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d5d05481908dbb23392c05d23b |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd74cc4048190bae5f75d922c9618 |
completed | May 8, 2026, 12:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd7bd20748190b9145ef14ce2759b |
completed | May 8, 2026, 12:31 p.m. |
Created at: April 10, 2026, 1:26 a.m.