Triple
T18843182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johannes Hevelius |
E460846
|
entity |
| Predicate | introducedConstellation |
P107682
|
FINISHED |
| Object | Sextans |
—
|
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: Sextans | Statement: [Johannes Hevelius, introducedConstellation, Sextans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sextans Context triple: [Johannes Hevelius, introducedConstellation, Sextans]
-
A.
Sextans
chosen
Sextans is a faint, small constellation in the celestial equator region, named after the astronomical sextant instrument.
-
B.
Microscopium
Microscopium is a small, faint constellation in the southern sky, representing a microscope and introduced in the 18th century by the astronomer Nicolas-Louis de Lacaille.
-
C.
Corona Borealis
Corona Borealis is a small but distinctive northern constellation known for its semicircular arc of stars, often associated in mythology with Ariadne’s crown.
-
D.
Equuleus
Equuleus is a small, faint constellation in the northern sky, traditionally depicted as a little horse or foal.
-
E.
Cygnis
Cygnis is a digital product development company specializing in custom web and mobile applications, often leveraging emerging technologies like AI and cloud platforms.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8ec8c5c8190b15e6394d0018573 |
completed | April 20, 2026, 5:26 a.m. |
Created at: April 10, 2026, 11:56 a.m.