Triple
T6160394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hardys Ride High |
E137424
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object | Carvel |
E569866
|
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: Carvel | Statement: [The Hardys Ride High, setIn, Carvel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carvel Context triple: [The Hardys Ride High, setIn, Carvel]
-
A.
Carvel
chosen
Carvel is a fictional small American town that serves as the primary setting for the Andy Hardy film series.
-
B.
Pepperidge Farm
Pepperidge Farm is an American food company best known for its cookies, crackers, and baked goods such as Milano cookies and Goldfish crackers.
-
C.
Ben & Jerry's
Ben & Jerry's is a popular American ice cream company known for its rich, creatively named flavors and socially conscious business practices.
-
D.
Baker’s
Baker’s is a regional American supermarket chain known for offering a full range of groceries and household goods.
-
E.
Krispy Kreme
Krispy Kreme is an American doughnut company and coffeehouse chain best known for its Original Glazed doughnuts and signature “Hot Now” sign.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d35b2f88190abb9b90b5971e6d7 |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c14194d31081908e61a867f11117b4 |
completed | March 23, 2026, 1:35 p.m. |
Created at: March 22, 2026, 4:17 p.m.