Triple
T6311764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac Miller |
E141519
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Swimming |
E508371
|
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: Swimming | Statement: [Mac Miller, notableWork, Swimming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swimming Context triple: [Mac Miller, notableWork, Swimming]
-
A.
Swimming
chosen
Swimming is a water-based physical activity and sport involving self-propelled movement through water using coordinated limb and body motions.
-
B.
Swimfan
Swimfan is a 2002 teen psychological thriller film about a high school swimmer whose life is upended by a dangerously obsessive admirer.
-
C.
Schwimmer
Schwimmer is a German-origin surname borne by various notable individuals in fields such as acting, politics, and activism.
-
D.
World Aquatics
World Aquatics is the international governing body responsible for overseeing and regulating global aquatic sports such as swimming, diving, water polo, artistic swimming, open water swimming, and high diving.
-
E.
Speedo
Speedo is a globally recognized swimwear and aquatic sports brand known for its performance-focused swimsuits and gear used by elite swimmers.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0649d1e048190a3fc7fbce9d2ee57 |
completed | March 22, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e461e2ec8190af7198a03edb1ff7 |
completed | March 27, 2026, 1:58 a.m. |
Created at: March 22, 2026, 4:28 p.m.