Triple
T6301492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josef Newgarden |
E141265
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Newgarden
Newgarden is the surname of American racing driver Josef Newgarden, a multiple IndyCar Series champion.
|
E583391
|
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: Newgarden | Statement: [Josef Newgarden, familyName, Newgarden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newgarden Context triple: [Josef Newgarden, familyName, Newgarden]
-
A.
Ge Garden
Ge Garden is a renowned classical Chinese garden in Yangzhou, celebrated for its elegant design and distinctive rockery landscapes.
-
B.
NTR Gardens
NTR Gardens is a popular urban park and recreational complex in Hyderabad, India, known for its landscaped gardens, amusement attractions, and proximity to Hussain Sagar Lake.
-
C.
Gardish
Gardish is a 1993 Hindi action-drama film directed by Priyadarshan, known for Dimple Kapadia’s acclaimed performance alongside Jackie Shroff.
-
D.
Neuer Garten
Neuer Garten is a historic landscaped park in Potsdam, Germany, known for its picturesque lakeside setting and palaces such as Cecilienhof and Marmorpalais.
-
E.
Great Garden
Great Garden is a historic formal baroque garden in Hanover, Germany, renowned for its geometric layout, fountains, and sculptures surrounding Herrenhausen Palace.
- 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: Newgarden Triple: [Josef Newgarden, familyName, Newgarden]
Generated description
Newgarden is the surname of American racing driver Josef Newgarden, a multiple IndyCar Series champion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Newgarden Target entity description: Newgarden is the surname of American racing driver Josef Newgarden, a multiple IndyCar Series champion.
-
A.
Ge Garden
Ge Garden is a renowned classical Chinese garden in Yangzhou, celebrated for its elegant design and distinctive rockery landscapes.
-
B.
NTR Gardens
NTR Gardens is a popular urban park and recreational complex in Hyderabad, India, known for its landscaped gardens, amusement attractions, and proximity to Hussain Sagar Lake.
-
C.
Gardish
Gardish is a 1993 Hindi action-drama film directed by Priyadarshan, known for Dimple Kapadia’s acclaimed performance alongside Jackie Shroff.
-
D.
Neuer Garten
Neuer Garten is a historic landscaped park in Potsdam, Germany, known for its picturesque lakeside setting and palaces such as Cecilienhof and Marmorpalais.
-
E.
Great Garden
Great Garden is a historic formal baroque garden in Hanover, Germany, renowned for its geometric layout, fountains, and sculptures surrounding Herrenhausen Palace.
- 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_69c008cf0ad4819095def81e2bd42f9f |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0645bb41481909294b06e2b3e1845 |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e42f38bc819086a3e66a83ffc792 |
completed | March 27, 2026, 1:58 a.m. |
| NEDg | Description generation | batch_69c5e4e5f5ec81909ddfb500315408bd |
completed | March 27, 2026, 2:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5e55af7c48190ab44b433ba8bd3e8 |
completed | March 27, 2026, 2:03 a.m. |
Created at: March 22, 2026, 4:27 p.m.