Triple
T4780782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morning Star |
E106158
|
entity |
| Predicate | isOftenMistakenFor |
P2289
|
FINISHED |
| Object | bright star |
—
|
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: bright star | Statement: [Morning Star, isOftenMistakenFor, bright star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOftenMistakenFor Context triple: [Morning Star, isOftenMistakenFor, bright star]
-
A.
oftenConfusedWith
chosen
Indicates that one entity is frequently mistaken for or thought to be another due to similarity or ambiguity.
-
B.
misidentifiedAs
Indicates that one entity has been incorrectly recognized, labeled, or understood as another, distinct entity.
-
C.
misinterpretedBy
Indicates that something (such as a statement, action, or signal) is understood incorrectly or in a way not intended by a particular entity.
-
D.
reasonForMisidentification
Indicates the explanation or cause behind why one entity was incorrectly identified as another.
-
E.
notableMisconception
Indicates that a commonly held but incorrect belief or understanding exists about the subject.
- 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.