Triple
T16324399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Juniors |
E396375
|
entity |
| Predicate | ageRangeOfContestants |
P2736
|
FINISHED |
| Object | 6–13 |
—
|
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: 6–13 | Statement: [American Juniors, ageRangeOfContestants, 6–13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageRangeOfContestants Context triple: [American Juniors, ageRangeOfContestants, 6–13]
-
A.
ageRange
chosen
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
B.
ageInPlay
Indicates that an entity’s age is relevant or applicable within the context of a particular play, game, or interactive scenario.
-
C.
hasProtagonistAgeRange
Indicates that a work’s main character falls within a specified age range.
-
D.
ageGroupInvolved
Indicates that a particular age group participates in, is affected by, or is otherwise involved in the specified event or relationship.
-
E.
ageRangeUpper
Indicates the maximum age limit that bounds the upper end of an age range associated with an entity or relationship.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b8fe988190adee72b23246052f |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.