Triple
T10489276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ptolemy’s 48 constellations |
E247371
|
entity |
| Predicate | includesConstellation |
P9993
|
FINISHED |
| Object | Cetus |
E129783
|
NE FINISHED |
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: Cetus | Statement: [Ptolemy’s 48 constellations, includesConstellation, Cetus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cetus Context triple: [Ptolemy’s 48 constellations, includesConstellation, Cetus]
-
A.
Cetus
chosen
Cetus is a large constellation in the equatorial region of the sky, often associated with a mythological sea monster or whale in Greek mythology.
-
B.
Cepheus
Cepheus is a figure in Greek mythology, commonly known as a king of Aethiopia and the father of Andromeda.
-
C.
Auriga
Auriga is a prominent northern constellation best known for its bright star Capella and its pentagon-shaped pattern in the winter sky.
-
D.
Bootes
Bootes is a prominent northern constellation best known for its bright orange giant star Arcturus and its kite-shaped pattern in the night sky.
-
E.
Cassiopeia
"Cassiopeia" is a track by the indie music project Walnut Whales, known for its gentle, atmospheric style.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5190da7f081908c38b5964a567e37 |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b0d05a88190be036a6e4ab374a7 |
completed | April 10, 2026, 7:10 p.m. |
Created at: April 6, 2026, 12:23 p.m.