Triple
T7325659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Em |
E168866
|
entity |
| Predicate | commonness |
P75339
|
FINISHED |
| Object | common nickname for Emma |
—
|
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: common nickname for Emma | Statement: [Em, commonness, common nickname for Emma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonness Context triple: [Em, commonness, common nickname for Emma]
-
A.
moreCommonIn
Indicates that something occurs with greater frequency or prevalence in one group, context, or location than in another.
-
B.
moreCommonAs
Indicates that one thing occurs or is observed more frequently in a specified role, form, or context than in another.
-
C.
commonIn
Indicates that something frequently occurs, appears, or is found within a specified context, group, or environment.
-
D.
commonOn
Indicates that two or more entities share the same location, context, or medium where they are present or occur together.
-
E.
isLessCommonThan
Indicates that one item occurs, appears, or is observed less frequently than another item.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0a612c08190b7a3fefa811bbcec |
completed | March 27, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69c6e77230048190b2c29ca6b3a65b8e |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6e80ae5688190ac3d6c1bdf9532f0 |
completed | March 27, 2026, 8:26 p.m. |
Created at: March 27, 2026, 3:03 p.m.