Triple
T20274149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Corwin |
E502965
|
entity |
| Predicate | hasAward |
P219
|
FINISHED |
| Object | Genesis Award |
—
|
NE NERFINISHED |
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: Genesis Award | Statement: [Jeff Corwin, hasAward, Genesis Award]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Genesis Award Context triple: [Jeff Corwin, hasAward, Genesis Award]
-
A.
Phoenix Award
The Phoenix Award is a literary prize that honors children's books of high quality that did not receive major recognition when they were first published.
-
B.
Genesis Awards
chosen
The Genesis Awards are annual honors presented by the Humane Society of the United States recognizing outstanding media and entertainment works that raise awareness of animal issues.
-
C.
Dragon Award
The Dragon Award is a fan-voted honor recognizing popular works of science fiction and fantasy, presented annually at Dragon Con.
-
D.
Generation Award
The Generation Award is a special MTV Movie & TV Awards honor recognizing actors or creators for their overall contributions and lasting impact on popular culture.
-
E.
Locus Award
The Locus Award is a prestigious set of annual science fiction and fantasy literary awards voted on by readers of Locus magazine.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675e104f081909d17c1963a5db528 |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 16, 2026, 10:31 a.m.