Triple
T3939756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte Hornets |
E92005
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Hornets |
E92005
|
NE FINISHED |
How this triple was built (2 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: Hornets | Statement: [Charlotte Hornets, shortName, Hornets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hornets Context triple: [Charlotte Hornets, shortName, Hornets]
-
A.
Hornets
The Hornets are the athletic teams representing California State University, Sacramento in intercollegiate sports.
-
B.
Hornets
chosen
Hornets is the commonly used short name for the Charlotte Hornets, a professional basketball team in the NBA based in Charlotte, North Carolina.
-
C.
Yellow Jackets
The Yellow Jackets are the athletic teams representing the Georgia Institute of Technology in NCAA Division I sports.
-
D.
Yellow Jackets
Yellow Jackets is the mascot representing T. L. Hanna High School’s athletic teams and school spirit.
-
E.
Yellow Jackets
Yellow Jackets is the collective name for the varsity athletic teams representing American International College in intercollegiate sports.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfb12b88190a6ca6574b1aadb6e |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52894cb94819099d023745fcaebbc |
completed | March 14, 2026, 9:21 a.m. |
Created at: March 9, 2026, 3:24 p.m.