Triple
T27936596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | shoe toon |
E700628
|
entity |
| Predicate | ageGroupAppeal |
P163795
|
FINISHED |
| Object | older children |
—
|
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: older children | Statement: [shoe toon, ageGroupAppeal, older children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageGroupAppeal Context triple: [shoe toon, ageGroupAppeal, older children]
-
A.
ageGroupAppeal
chosen
Indicates that something is particularly appealing or targeted to a specific age group.
-
B.
ageGroupInvolved
Indicates that a particular age group participates in, is affected by, or is otherwise involved in the specified event or relationship.
-
C.
ageGroup
Indicates the categorical age range or bracket to which an entity belongs.
-
D.
ageBased
Indicates a relationship or condition that depends on or is determined by the age of the entities involved.
-
E.
ageType
Indicates the specific categorization or classification of an age value (e.g., actual, estimated, range-based) associated with an 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 7:13 p.m.