Triple
T28155567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenna Rink |
E714733
|
entity |
| Predicate | settingAsTeen |
P1957
|
FINISHED |
| Object | suburban New Jersey |
—
|
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: suburban New Jersey | Statement: [Jenna Rink, settingAsTeen, suburban New Jersey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingAsTeen Context triple: [Jenna Rink, settingAsTeen, suburban New Jersey]
-
A.
signedPlayerAsTeenager
Indicates that an entity formally entered into a playing contract with a person while that person was still a teenager.
-
B.
setsMinimumAge
Indicates that an entity establishes the lowest permissible age required for participation, access, or eligibility in relation to another entity or activity.
-
C.
ageSetting
Indicates that one entity specifies, adjusts, or defines the age value or age-related parameter of another entity.
-
D.
transitionAge
Indicates a change in state or status of an entity from one defined phase, condition, or category to another at a particular point or period in time.
-
E.
setting
chosen
Indicates the place, time, or context in which an event, action, or interaction occurs.
- 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_69efd6b156448190bfa15958208395c3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 27, 2026, 10:02 p.m.