Triple
T6655474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joshua "J" Cody |
E150929
|
entity |
| Predicate | ageAtIntroduction |
P72124
|
FINISHED |
| Object | teenager |
—
|
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: teenager | Statement: [Joshua "J" Cody, ageAtIntroduction, teenager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtIntroduction Context triple: [Joshua "J" Cody, ageAtIntroduction, teenager]
-
A.
typicallyIssuedAtAge
Indicates the age at which something is most commonly or customarily issued to an individual.
-
B.
ageLimitIntroduced
Indicates that a specific age restriction or minimum/maximum age requirement has been formally established or put into effect for something.
-
C.
typicalAgeAtSelection
Indicates the usual or most common age at which an entity is chosen or selected for a particular role, status, or process.
-
D.
ageAtFirstTransformation
Indicates the age an entity was when it underwent its first transformation or change of state.
-
E.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9d53848190ac75523c157249c6 |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad071b0081909b96dd4b93414bd1 |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6cc988c0081909d22b86ca299331c |
completed | March 27, 2026, 6:29 p.m. |
Created at: March 27, 2026, 2:01 p.m.