Triple
T37818960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zakk Wylde |
E942851
|
entity |
| Predicate | beganPracticingSeriouslyAtAge |
P131418
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [Zakk Wylde, beganPracticingSeriouslyAtAge, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beganPracticingSeriouslyAtAge Context triple: [Zakk Wylde, beganPracticingSeriouslyAtAge, 14]
-
A.
startedTrainingAtAge
chosen
Indicates the age at which an entity first began a particular training or practice.
-
B.
wasFirstPracticedIn
Indicates that an activity, custom, or practice originated or was initially carried out in a particular place or time.
-
C.
practicedSince
Indicates that an entity has been continuously or intermittently engaged in a particular practice, activity, or profession starting from a specified point in time.
-
D.
beganAmateurCareer
Indicates that an entity started its amateur-level career or involvement in a particular field or activity.
-
E.
startedRacingAtAge
Indicates that an entity began participating in racing activities at a specified age.
- 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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.