Triple
T19097654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bauer |
E467448
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Bauer Hockey |
—
|
NE NERFINISHED |
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: Bauer Hockey | Statement: [Bauer, formerName, Bauer Hockey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bauer Hockey Context triple: [Bauer, formerName, Bauer Hockey]
-
A.
Bauer
chosen
Bauer is a leading ice hockey equipment manufacturer best known for its skates, sticks, and protective gear used by professional and amateur players worldwide.
-
B.
Bauer
Bauer is a German occupational surname historically given to farmers or peasants and now borne by many people worldwide.
-
C.
Bauer Brothers
Bauer Brothers is a business enterprise that employs Allen Bauer, likely a family-owned company associated with the Bauer family.
-
D.
Nordica
Nordica is Estonia’s national airline, operating regional and international flights primarily across Europe.
-
E.
Big 5 Sporting Goods
Big 5 Sporting Goods is a regional American sporting goods retail chain known for offering a wide range of athletic equipment, apparel, and outdoor gear at value-oriented prices.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36b279c819091a8d51f044bc644 |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.