Triple
T12616642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jared Bednar |
E301270
|
entity |
| Predicate | coachedTeam |
P2169
|
FINISHED |
| Object | Lake Erie Monsters |
E210140
|
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: Lake Erie Monsters | Statement: [Jared Bednar, coachedTeam, Lake Erie Monsters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Erie Monsters Context triple: [Jared Bednar, coachedTeam, Lake Erie Monsters]
-
A.
Lake Erie Monsters
chosen
Lake Erie Monsters were a professional ice hockey team in the American Hockey League based in Cleveland, Ohio, serving as an affiliate of NHL franchises before being rebranded as the Cleveland Monsters.
-
B.
Ogopogo
Ogopogo is a legendary lake monster said to inhabit Okanagan Lake in British Columbia, Canada, and is often likened to Scotland’s Loch Ness Monster.
-
C.
Lake Placid
Lake Placid is a village and nearby lake in northern New York best known as a major winter sports destination and host of the 1932 and 1980 Winter Olympics.
-
D.
Bradlava
Bradlava is a small river in the Czech Republic that serves as a left-bank tributary of the Úslava River.
-
E.
El Muski
El Muski is a historic, densely populated commercial district in central Cairo known for its traditional markets and bustling street life.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c63ea48190ae1aae9280a023a6 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed2e12c819097cfd2a40116f491 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:12 p.m.