Triple
T20924079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jupiter Award for Best Novel |
E515289
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Jupiter (planet) |
—
|
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: Jupiter (planet) | Statement: [Jupiter Award for Best Novel, namedAfter, Jupiter (planet)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jupiter (planet) Context triple: [Jupiter Award for Best Novel, namedAfter, Jupiter (planet)]
-
A.
Jupiter
Jupiter is the codename for Microsoft's Handheld PC 2000 platform, a Windows CE–based operating system designed for clamshell-style handheld computers released around 2000.
-
B.
Jupiter
Jupiter was a British warship active during the late 18th century, notable for being captured in the naval Battle of Camperdown.
-
C.
Jupiter
Jupiter is the chief god of ancient Roman religion, associated primarily with the sky, thunder, and kingship.
-
D.
Jupiter
Jupiter is a coastal town in southeastern Florida known for its beaches, lighthouse, and waterfront parks.
-
E.
Jupiter
chosen
Jupiter is the largest planet in our Solar System, a gas giant known for its Great Red Spot and many moons.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f6504c30819084e8cabab98d08f7 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.