Triple
T14829677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Award for Outstanding Producer of Limited Series Television |
E348663
|
entity |
| Predicate | workFormatRecognized |
P98372
|
FINISHED |
| Object | limited 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: limited series | Statement: [Award for Outstanding Producer of Limited Series Television, workFormatRecognized, limited series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workFormatRecognized Context triple: [Award for Outstanding Producer of Limited Series Television, workFormatRecognized, limited series]
-
A.
typicalRecognitionFormat
chosen
Indicates the usual or standard format in which something is recognized, identified, or acknowledged.
-
B.
recognizesDocument
Indicates that one entity acknowledges the validity or authenticity of a document associated with another entity.
-
C.
hasWorkingFormat
Indicates that one entity possesses or is associated with a functional or operational format of another entity.
-
D.
draftFormatUsed
Indicates that a particular draft was created or prepared using a specified format.
-
E.
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.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0748eec8190a39c94024c3a3e3e |
completed | April 14, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:51 a.m.