Triple
T7712279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nebraska |
E174787
|
entity |
| Predicate | plotSummary |
P264
|
FINISHED |
| Object | An aging man believes he has won a sweepstakes and embarks on a road trip with his son to claim the supposed prize. |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: An aging man believes he has won a sweepstakes and embarks on a road trip with his son to claim the supposed prize. | Statement: [Nebraska, plotSummary, An aging man believes he has won a sweepstakes and embarks on a road trip with his son to claim the supposed prize.]
Provenance (2 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ae8b20819096930fe4be41b7be |
completed | March 27, 2026, 10:20 p.m. |
Created at: March 27, 2026, 4:04 p.m.