Triple
T16635567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grandpa Mori Tanaka |
E404188
|
entity |
| Predicate | teachesGrandsons |
P123669
|
FINISHED |
| Object | use skills only for good |
—
|
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: use skills only for good | Statement: [Grandpa Mori Tanaka, teachesGrandsons, use skills only for good]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachesGrandsons Context triple: [Grandpa Mori Tanaka, teachesGrandsons, use skills only for good]
-
A.
grandsonsOf
Indicates that one or more entities are male grandchildren (sons of a child) of another entity.
-
B.
grandson
Indicates that one person is the male child of another person's child.
-
C.
onlyGrandsonOf
Indicates that one person is the sole male grandchild (only grandson) of another person.
-
D.
numberOfGrandsons
Indicates the count of male grandchildren (grandsons) associated with a given entity.
-
E.
grandfathers
Indicates that one entity is the male parent of another entity’s parent, i.e., the grandfather of that entity.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e999d48190bff680040dbc883d |
completed | April 18, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_69e296ad3f148190af09223dc35b155c |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:17 a.m.