Triple
T664296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange Bowl |
E12824
|
entity |
| Predicate | previousSponsor |
P17776
|
FINISHED |
| Object | Vizio |
E77119
|
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: Vizio | Statement: [Orange Bowl, previousSponsor, Vizio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vizio Context triple: [Orange Bowl, previousSponsor, Vizio]
-
A.
Vizio
chosen
Vizio is an American consumer electronics company best known for its affordable flat-screen televisions and home entertainment products.
-
B.
Bravia
Bravia is Sony's line of high-definition televisions and display products known for their advanced picture and sound technologies.
-
C.
Roku
Roku is a popular digital media player platform that streams internet-based television, movies, and other content through apps and channels on connected TVs.
-
D.
LG Electronics
LG Electronics is a South Korean multinational electronics company known for producing a wide range of consumer electronics, home appliances, and mobile devices.
-
E.
Toshiba
Toshiba is a major Japanese multinational conglomerate known for its electronics, semiconductors, and information technology products and services.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a517ac148190aa032b77885bf709 |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c39abcbc819093797700dc32d25a |
completed | March 2, 2026, 5:06 p.m. |
Created at: March 1, 2026, 7:36 p.m.