Triple
T35144645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recorded Live: The 12 Year Old Genius |
E1014788
|
entity |
| Predicate | depictsAgeOfPerformer |
P49987
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Recorded Live: The 12 Year Old Genius, depictsAgeOfPerformer, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsAgeOfPerformer Context triple: [Recorded Live: The 12 Year Old Genius, depictsAgeOfPerformer, 12]
-
A.
performerAgeAtRecording
chosen
Indicates the age of the performer at the time the recording was made.
-
B.
performerAgeAtRelease
Indicates the age of a performer at the time a work (such as a recording or performance) is released.
-
C.
portraysFromAge
Indicates that one entity depicts another entity starting from a specified age of the depicted entity.
-
D.
portrayalAge
Indicates the age or life stage at which an entity is depicted or represented in a given context.
-
E.
hasPerformerBirthYear
Indicates that a performer is associated with a specific year in which they were born.
- 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_69f76dda7c108190a2ffd93eb6c341a7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: May 3, 2026, 4:02 p.m.