Triple
T3994502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opie Taylor |
E87066
|
entity |
| Predicate | ageAtSeriesStart |
P30329
|
FINISHED |
| Object | approximately six years old |
—
|
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: approximately six years old | Statement: [Opie Taylor, ageAtSeriesStart, approximately six years old]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtSeriesStart Context triple: [Opie Taylor, ageAtSeriesStart, approximately six years old]
-
A.
ageAtStartOfRole
chosen
Indicates the age an entity was when they first began a specified role or position.
-
B.
ageAtStartOfReign
Indicates the age an individual was when they began their reign or rule.
-
C.
designedAtAge
Indicates that something was designed when the designer was a specified age.
-
D.
cameOfAge
Indicates that an entity reached the age or stage of maturity at which it is considered an adult or fully responsible.
-
E.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb81040481909b22e4c445ecae0f |
completed | March 9, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69aef8f692008190bf4d637ffc3d3eaa |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:34 p.m.