Triple
T4780779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morning Star |
E106158
|
entity |
| Predicate | hasBrightness |
P22293
|
FINISHED |
| Object | very bright |
—
|
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: very bright | Statement: [Morning Star, hasBrightness, very bright]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBrightness Context triple: [Morning Star, hasBrightness, very bright]
-
A.
isBrighterThan
Indicates that one entity emits or reflects more light, or appears more luminous, than another entity.
-
B.
hasBrightSpots
Indicates that an entity possesses one or more areas or points that are noticeably brighter than their surroundings.
-
C.
maximumBrightness
Indicates the highest level of brightness that an entity can reach or exhibit.
-
D.
apparentBrightness
chosen
Indicates how bright one object appears from the perspective or location of another, regardless of its actual intrinsic luminosity.
-
E.
hasBrightStar
Indicates that one entity possesses, contains, or is associated with a star characterized by high brightness.
- F. None of above.
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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.