Triple
T9112248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben |
E218629
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
FINISHED |
| Object |
Benno
Benno is a masculine given name, used as a variant or extended form of the name Ben in various European languages.
|
E779083
|
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: Benno | Statement: [Ben, hasAlternativeSpelling, Benno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benno Context triple: [Ben, hasAlternativeSpelling, Benno]
-
A.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
-
B.
Günther
Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
-
C.
Bernhard
Bernhard is a male given name of Germanic origin, historically borne by various European nobles and royals, including Prince Bernhard of the Netherlands.
-
D.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
E.
Othmar
Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
- 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: Benno Triple: [Ben, hasAlternativeSpelling, Benno]
Generated description
Benno is a masculine given name, used as a variant or extended form of the name Ben in various European languages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benno Target entity description: Benno is a masculine given name, used as a variant or extended form of the name Ben in various European languages.
-
A.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
-
B.
Günther
Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
-
C.
Bernhard
Bernhard is a male given name of Germanic origin, historically borne by various European nobles and royals, including Prince Bernhard of the Netherlands.
-
D.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
E.
Othmar
Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8495c448190b9bb3803fb2dda70 |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d03052716c8190835b0d3357a29ce5 |
completed | April 3, 2026, 9:25 p.m. |
| NEDg | Description generation | batch_69d0316f47c88190920843b469d15069 |
completed | April 3, 2026, 9:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d032778adc8190a087497507a6e1ca |
completed | April 3, 2026, 9:34 p.m. |
Created at: March 30, 2026, 7:16 p.m.