Triple
T13426570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan B. Anthony dollar |
E313495
|
entity |
| Predicate | reasonForUnpopularity |
P55574
|
FINISHED |
| Object | similarity in size and color to the quarter |
—
|
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: similarity in size and color to the quarter | Statement: [Susan B. Anthony dollar, reasonForUnpopularity, similarity in size and color to the quarter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForUnpopularity Context triple: [Susan B. Anthony dollar, reasonForUnpopularity, similarity in size and color to the quarter]
-
A.
hasPopularityReason
chosen
Indicates that there is a specific reason or factor explaining why something is popular.
-
B.
criticismReason
Indicates that one entity criticizes another entity specifically because of the stated reason.
-
C.
criticizedFor
Indicates that one entity expresses disapproval or negative judgment of another entity specifically because of a particular action, quality, or outcome.
-
D.
dislikes
Indicates that one entity has a negative feeling or aversion toward another entity.
-
E.
isNotedByCriticsFor
Indicates that something has been recognized and highlighted by critics specifically for a particular quality, feature, or aspect.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed1f9208190bf5ef5b8a7ded376 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.