Triple
T18842317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | σ Orionis cluster |
E460826
|
entity |
| Predicate | angularSeparationFrom |
P60658
|
FINISHED |
| Object | Alnilam |
—
|
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: Alnilam | Statement: [σ Orionis cluster, angularSeparationFrom, Alnilam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alnilam Context triple: [σ Orionis cluster, angularSeparationFrom, Alnilam]
-
A.
Alnilam
chosen
Alnilam is a bright blue supergiant star that forms the central and most luminous point of Orion’s Belt in the constellation Orion.
-
B.
Alnitak
Alnitak is a bright multiple star system in the constellation Orion, forming the easternmost star of the prominent asterism known as Orion’s Belt.
-
C.
Aludra
Aludra is a bright blue supergiant star in the constellation Canis Major, known for its high luminosity and relatively short remaining lifespan.
-
D.
Denebola
Denebola is a bright white main-sequence star in the constellation Leo, notable as one of its primary corner stars and for possessing a surrounding debris disk.
-
E.
Arneb
Arneb is a luminous white supergiant star in the constellation Lepus, notable for its high brightness and advanced evolutionary stage.
- 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_69e5b8eb32548190b2313e877f6ff179 |
completed | April 20, 2026, 5:26 a.m. |
Created at: April 10, 2026, 11:56 a.m.