Triple
T29789802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Kardashian "Break the Internet" Paper magazine cover |
E756369
|
entity |
| Predicate | subjectAgeAtTime |
P143898
|
FINISHED |
| Object | 34 |
—
|
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: 34 | Statement: [Kim Kardashian "Break the Internet" Paper magazine cover, subjectAgeAtTime, 34]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectAgeAtTime Context triple: [Kim Kardashian "Break the Internet" Paper magazine cover, subjectAgeAtTime, 34]
-
A.
subjectAgeAtEvent
chosen
Indicates the age of a subject at the time a specific event occurs.
-
B.
typicallyIssuedAtAge
Indicates the age at which something is most commonly or customarily issued to an individual.
-
C.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
D.
ageAtIntroduction
Indicates the age an entity had at the time it was first introduced or presented in a given context.
-
E.
estimatedAgeYears
Indicates the approximate number of years assigned as an entity’s age based on estimation rather than exact measurement.
- 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_69f22451fb748190bbdbab401280affb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 29, 2026, 5:11 p.m.