Triple
T28155546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenna Rink |
E714733
|
entity |
| Predicate | ageAfterTransformation |
P164078
|
FINISHED |
| Object | 30 |
—
|
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: 30 | Statement: [Jenna Rink, ageAfterTransformation, 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAfterTransformation Context triple: [Jenna Rink, ageAfterTransformation, 30]
-
A.
hasAgeTransformation
Indicates a relationship where an entity undergoes or causes a change in age or age-related state.
-
B.
ageAtFirstTransformation
Indicates the age an entity was when it underwent its first transformation or change of state.
-
C.
ageAtConversion
Indicates the age an entity was when a specified conversion event (such as a change of status, belief, or state) occurred.
-
D.
residenceAfterTransformation
Indicates the place where an entity lives or is located after undergoing a specified transformation or change.
-
E.
wasTransformedBy
Indicates that an entity has undergone a change of state, form, or condition as the result of an action, process, or agent.
- 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_69efd6b156448190bfa15958208395c3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f641e667f88190928bd3315a0dc485 |
completed | May 2, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 10:02 p.m.