Triple
T5958635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betelgeuse |
E132578
|
entity |
| Predicate | rankByBrightnessInNightSky |
P67062
|
FINISHED |
| Object | among the ten brightest stars |
—
|
LITERAL 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: among the ten brightest stars | Statement: [Betelgeuse, rankByBrightnessInNightSky, among the ten brightest stars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankByBrightnessInNightSky Context triple: [Betelgeuse, rankByBrightnessInNightSky, among the ten brightest stars]
-
A.
apparentBrightness
Indicates how bright one object appears from the perspective or location of another, regardless of its actual intrinsic luminosity.
-
B.
brightestStar
Indicates that one entity is the most luminous star within a specified group, region, or context relative to the others.
-
C.
apparentMagnitude
Indicates the observed brightness of an astronomical object as seen from Earth, on a logarithmic scale where lower values correspond to brighter appearances.
-
D.
rankByBrightnessInOrion
Indicates the ordering of entities based on their relative brightness within the Orion region.
-
E.
brightestStarApparentMagnitude
Indicates the apparent brightness value (magnitude) of the brightest star as seen from a given observation point.
- F. None of above. chosen
Provenance (4 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03fb7f8a88190a8bd45208bda4a03 |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0335a635881909c58c1ef0f97f1e8 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03fb6bb7c81909c5629fba408dc69 |
completed | March 22, 2026, 7:15 p.m. |
Created at: March 22, 2026, 4:02 p.m.