Triple
T13567075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primetime Emmy Award for Outstanding Actor in a Short Form Comedy or Drama Series |
E324064
|
entity |
| Predicate | formatRecognized |
P77912
|
FINISHED |
| Object | short form 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: short form series | Statement: [Primetime Emmy Award for Outstanding Actor in a Short Form Comedy or Drama Series, formatRecognized, short form series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatRecognized Context triple: [Primetime Emmy Award for Outstanding Actor in a Short Form Comedy or Drama Series, formatRecognized, short form series]
-
A.
typicalRecognitionFormat
Indicates the usual or standard format in which something is recognized, identified, or acknowledged.
-
B.
formatMayChange
Indicates that the format or structure of something is subject to modification and may not remain consistent over time.
-
C.
dateFormat
Indicates the specific pattern or structure used to represent a date as a formatted string.
-
D.
formatCategory
chosen
Indicates how an item is classified or grouped according to its format or presentation type.
-
E.
formatAfter
Indicates that one entity’s format or structural arrangement is derived from, follows, or is applied subsequent to another entity’s 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00e0188819094fde44f85adb69c |
completed | April 12, 2026, 2:45 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.