Triple
T31597064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsubaki Sawabe |
E806245
|
entity |
| Predicate | laterAge |
P199745
|
FINISHED |
| Object | high school age |
—
|
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: high school age | Statement: [Tsubaki Sawabe, laterAge, high school age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterAge Context triple: [Tsubaki Sawabe, laterAge, high school age]
-
A.
laterAgeRevision
Indicates that one entity represents a revised age that is later (or updated to a more advanced point in time) than the age specified by another entity.
-
B.
cameOfAge
Indicates that an entity reached the age or stage of maturity at which it is considered an adult or fully responsible.
-
C.
laterTenure
Indicates that one entity’s tenure or term of service occurs after another entity’s tenure or term of service.
-
D.
laterRaised
Indicates that one entity was raised, elevated, or brought up at a time subsequent to another referenced event or state.
-
E.
typicallyIssuedAtAge
Indicates the age at which something is most commonly or customarily issued to an individual.
- 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_69f348d54ccc8190a03b5df9a2b40b25 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff53389a0481908b2baeb43c6294f0 |
completed | May 9, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69ff52e2b4b88190b38d160d771fe14b |
completed | May 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69ff5337e6f88190ae0418335477063c |
completed | May 9, 2026, 3:31 p.m. |
Created at: April 30, 2026, 10:31 p.m.