Triple
T12710278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenhart |
E303698
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
FINISHED |
| Object |
Lenhard
Lenhard is a surname and given name of German origin, used by various individuals across different fields.
|
E996812
|
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: Lenhard | Statement: [Lenhart, hasAlternativeSpelling, Lenhard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lenhard Context triple: [Lenhart, hasAlternativeSpelling, Lenhard]
-
A.
Bernhard
Bernhard is a male given name of Germanic origin, historically borne by various European nobles and royals, including Prince Bernhard of the Netherlands.
-
B.
Sepp
Sepp is the commonly used nickname of Joseph "Sepp" Blatter, the long-serving and controversial former president of FIFA.
-
C.
Gustav Thöni
Gustav Thöni is an Italian former alpine ski racer, widely regarded as one of the sport’s greats of the 1970s, known for multiple World Cup titles and Olympic success.
-
D.
Wehrli
Wehrli is a surname most notably associated with Roger Wehrli, a Hall of Fame American football cornerback who played for the St. Louis Cardinals.
-
E.
Julius Gorner
Julius Gorner is the primary antagonist in Sebastian Faulks's James Bond novel "Devil May Care," a wealthy and sadistic mastermind whose schemes threaten global stability.
- 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: Lenhard Triple: [Lenhart, hasAlternativeSpelling, Lenhard]
Generated description
Lenhard is a surname and given name of German origin, used by various individuals across different fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lenhard Target entity description: Lenhard is a surname and given name of German origin, used by various individuals across different fields.
-
A.
Bernhard
Bernhard is a male given name of Germanic origin, historically borne by various European nobles and royals, including Prince Bernhard of the Netherlands.
-
B.
Sepp
Sepp is the commonly used nickname of Joseph "Sepp" Blatter, the long-serving and controversial former president of FIFA.
-
C.
Gustav Thöni
Gustav Thöni is an Italian former alpine ski racer, widely regarded as one of the sport’s greats of the 1970s, known for multiple World Cup titles and Olympic success.
-
D.
Wehrli
Wehrli is a surname most notably associated with Roger Wehrli, a Hall of Fame American football cornerback who played for the St. Louis Cardinals.
-
E.
Julius Gorner
Julius Gorner is the primary antagonist in Sebastian Faulks's James Bond novel "Devil May Care," a wealthy and sadistic mastermind whose schemes threaten global stability.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96207b2d881908314efc3e350aa78 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b8f43081909d4a8e4241c813a1 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f672ac07908190bd2dfe90d55a13c1 |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67360b530819085d5db2aa0b7513d |
completed | May 2, 2026, 9:57 p.m. |
Created at: April 9, 2026, 5:23 p.m.