Triple
T3614832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allstate Sugar Bowl |
E76574
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Allstate |
E76573
|
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: Allstate | Statement: [Allstate Sugar Bowl, sponsor, Allstate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allstate Context triple: [Allstate Sugar Bowl, sponsor, Allstate]
-
A.
Allstate
chosen
Allstate is a major American insurance company best known for its auto and home insurance services and its long-running national advertising campaigns.
-
B.
Esurance
Esurance is a U.S.-based online-focused auto and home insurance company known for its direct-to-consumer model and digital tools for buying and managing policies.
-
C.
American Family Insurance
American Family Insurance is a major U.S.-based mutual insurance company offering auto, home, life, and other insurance products across multiple states.
-
D.
GEICO
GEICO is a major American auto insurance company best known for its direct-to-consumer model and iconic advertising campaigns featuring the GEICO Gecko.
-
E.
Allianz
Allianz is a leading global financial services company, best known as one of the world’s largest insurance and asset management providers.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc279f6948190b9655a4cf3e77d89 |
completed | March 8, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c380abf0819091750970277352de |
completed | March 14, 2026, 2:10 a.m. |
Created at: March 8, 2026, 3:23 p.m.