Triple
T20485608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jermain Baxter |
E502584
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Nature |
—
|
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: Nature | Statement: [Jermain Baxter, stageName, Nature]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nature Context triple: [Jermain Baxter, stageName, Nature]
-
A.
Nature
Nature is a long-running PBS documentary television series that explores wildlife, natural habitats, and environmental issues around the world.
-
B.
Nature
"Nature" is an episode of the stop-motion animated television series Moral Orel, known for its darkly satirical exploration of religion, morality, and small-town life.
-
C.
Nature
chosen
Nature is an American rapper from Queensbridge, New York, known for his work with The Firm and his contributions to the late-1990s East Coast hip-hop scene.
-
D.
Nature
Nature is a leading international scientific journal renowned for publishing groundbreaking research across all fields of science.
-
E.
Nature
Nature is a South Korean hip-hop group known for its energetic style and contributions to the underground rap scene.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b5aac208190956c7fd935578d60 |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.