Triple
T38241432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hartbeat Productions |
E1013769
|
entity |
| Predicate | notableSeriesFormatElement |
P204562
|
FINISHED |
| Object | studio-based art demonstrations |
—
|
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: studio-based art demonstrations | Statement: [Hartbeat Productions, notableSeriesFormatElement, studio-based art demonstrations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSeriesFormatElement Context triple: [Hartbeat Productions, notableSeriesFormatElement, studio-based art demonstrations]
-
A.
inSeriesFormat
Indicates that one entity is organized or presented as part of a sequential series format relative to another entity.
-
B.
typicalSeriesFormat
Indicates that one entity represents the usual or standard format or structure in which a given series is presented or organized.
-
C.
televisionFormat
Indicates the specific type or style of television program or production format associated with an entity.
-
D.
notableSeriesStyle
Indicates that a work is created in the characteristic style of a notable series or franchise.
-
E.
miniseriesFormat
Indicates that the work is presented in a miniseries format, typically as a limited-run, episodic television or streaming series.
- F. None of above. chosen
Provenance (4 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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:30 p.m.