Triple
T4608841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neptune Fountain |
E100503
|
entity |
| Predicate | sculptor |
P184
|
FINISHED |
| Object |
Johann Rogge
Johann Rogge was a sculptor best known for creating the Neptune Fountain.
|
E456477
|
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: Johann Rogge | Statement: [Neptune Fountain, sculptor, Johann Rogge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johann Rogge Context triple: [Neptune Fountain, sculptor, Johann Rogge]
-
A.
Jacques Rogge
Jacques Rogge was a Belgian sports administrator and former Olympic sailor who served as the eighth president of the International Olympic Committee.
-
B.
Thomas Bach
Thomas Bach is a German lawyer and former Olympic fencer who serves as the president of the International Olympic Committee.
-
C.
Juan Antonio Samaranch
Juan Antonio Samaranch was a Spanish sports administrator who served as the influential president of the International Olympic Committee from 1980 to 2001.
-
D.
Sepp Blatter
Sepp Blatter is a Swiss football administrator best known for serving as the long-time and controversial president of FIFA.
-
E.
Tom Nissalke
Tom Nissalke was an American professional basketball coach best known for his work in the ABA and NBA during the 1970s and 1980s.
- 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: Johann Rogge Triple: [Neptune Fountain, sculptor, Johann Rogge]
Generated description
Johann Rogge was a sculptor best known for creating the Neptune Fountain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Johann Rogge Target entity description: Johann Rogge was a sculptor best known for creating the Neptune Fountain.
-
A.
Jacques Rogge
Jacques Rogge was a Belgian sports administrator and former Olympic sailor who served as the eighth president of the International Olympic Committee.
-
B.
Thomas Bach
Thomas Bach is a German lawyer and former Olympic fencer who serves as the president of the International Olympic Committee.
-
C.
Juan Antonio Samaranch
Juan Antonio Samaranch was a Spanish sports administrator who served as the influential president of the International Olympic Committee from 1980 to 2001.
-
D.
Sepp Blatter
Sepp Blatter is a Swiss football administrator best known for serving as the long-time and controversial president of FIFA.
-
E.
Tom Nissalke
Tom Nissalke was an American professional basketball coach best known for his work in the ABA and NBA during the 1970s and 1980s.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599f08d88190ad4bed8bafb592cd |
completed | March 20, 2026, 2:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa789cdc8190add02a5970f9a0b6 |
completed | March 21, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69bdfb385ccc8190ab8de82c6df645cf |
completed | March 21, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfbcdb6d881909feb3a6be81a567f |
completed | March 21, 2026, 2 a.m. |
Created at: March 20, 2026, 1:12 p.m.