Triple
T6146905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Wiggins |
E137099
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Maple Jordan
Maple Jordan is the nickname of Canadian NBA player Andrew Wiggins, highlighting his high-flying, Jordan-like playing style and Canadian roots.
|
E572165
|
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: Maple Jordan | Statement: [Andrew Wiggins, nickname, Maple Jordan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maple Jordan Context triple: [Andrew Wiggins, nickname, Maple Jordan]
-
A.
Maple
Maple is a comprehensive computer algebra system used for symbolic and numeric mathematics, modeling, and technical computing across education and research.
-
B.
Maple City Four
Maple City Four was a singing quartet that appeared as musical performers in early Western films.
-
C.
Maple GO Station
Maple GO Station is a commuter rail station in Maple, Ontario, serving as a local stop on GO Transit's regional rail network in the Greater Toronto Area.
-
D.
Twin Maples
Twin Maples is a historic mansion in Summit, New Jersey, noted for its early 20th-century Colonial Revival architecture and preservation as a local landmark.
-
E.
Maple Library
Maple Library is a public community library serving residents of the Maple neighbourhood in Vaughan, Ontario.
- 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: Maple Jordan Triple: [Andrew Wiggins, nickname, Maple Jordan]
Generated description
Maple Jordan is the nickname of Canadian NBA player Andrew Wiggins, highlighting his high-flying, Jordan-like playing style and Canadian roots.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maple Jordan Target entity description: Maple Jordan is the nickname of Canadian NBA player Andrew Wiggins, highlighting his high-flying, Jordan-like playing style and Canadian roots.
-
A.
Maple
Maple is a comprehensive computer algebra system used for symbolic and numeric mathematics, modeling, and technical computing across education and research.
-
B.
Maple City Four
Maple City Four was a singing quartet that appeared as musical performers in early Western films.
-
C.
Maple GO Station
Maple GO Station is a commuter rail station in Maple, Ontario, serving as a local stop on GO Transit's regional rail network in the Greater Toronto Area.
-
D.
Twin Maples
Twin Maples is a historic mansion in Summit, New Jersey, noted for its early 20th-century Colonial Revival architecture and preservation as a local landmark.
-
E.
Maple Library
Maple Library is a public community library serving residents of the Maple neighbourhood in Vaughan, Ontario.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cdeeaa88190948d9db6eb2dbf46 |
completed | March 22, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c13603730881909b3991c7262509b5 |
completed | March 23, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69c139f6f11c81909eb0b2ab809de079 |
completed | March 23, 2026, 1:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c13a5f53ec8190be24f37fc5fb7f32 |
completed | March 23, 2026, 1:04 p.m. |
Created at: March 22, 2026, 4:16 p.m.