Triple
T24310969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daytime Emmy Award for Outstanding Children’s Animated Program |
E612671
|
entity |
| Predicate | recognizesFormat |
P98372
|
FINISHED |
| Object | series |
—
|
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: series | Statement: [Daytime Emmy Award for Outstanding Children’s Animated Program, recognizesFormat, series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizesFormat Context triple: [Daytime Emmy Award for Outstanding Children’s Animated Program, recognizesFormat, series]
-
A.
typicalRecognitionFormat
chosen
Indicates the usual or standard format in which something is recognized, identified, or acknowledged.
-
B.
isPrimaryFormatFor
Indicates that one format is the main or default format used to represent or distribute another related entity.
-
C.
canImportFormat
Indicates that an entity has the capability to import or read data in a specified format.
-
D.
hasFileFormat
Indicates that one entity (typically a digital file or resource) is encoded, stored, or represented using a specific file format defined by the other entity.
-
E.
operatesInFormat
Indicates that an entity functions, performs its role, or is carried out using a specified format.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2922a6afc8190b02cc2d185d15a45 |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:34 a.m.