Triple
T3823766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunbeam |
E88635
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object | Oster |
E88634
|
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: Oster | Statement: [Sunbeam, hasCompetitor, Oster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oster Context triple: [Sunbeam, hasCompetitor, Oster]
-
A.
Oster
chosen
Oster is a consumer appliance brand best known for its blenders, kitchen tools, and small household electronics.
-
B.
Ochs
Ochs is a surname most prominently associated with the Ochs-Sulzberger family, the longtime publishers and owners of The New York Times.
-
C.
Oberkrämer
Oberkrämer is a rural municipality in the Oberhavel district of Brandenburg, Germany, known for its villages, agricultural landscape, and proximity to Berlin.
-
D.
Osthoff
Osthoff is a German-language surname borne by various individuals, including those of notable public and historical prominence.
-
E.
Vyronas
Vyronas is a suburban municipality of Athens, Greece, known for its residential character and proximity to the city center.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb6223808190aee0c15259eeeecd |
completed | March 9, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb4c70008190bb8712f46f40d6f8 |
completed | March 14, 2026, 6:08 a.m. |
Created at: March 9, 2026, 3:17 p.m.