Triple
T25811062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EnterMedia |
E650110
|
entity |
| Predicate | exportedFormat |
P79861
|
FINISHED |
| Object | The Good Doctor (TV format) |
—
|
NE NERFINISHED |
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: The Good Doctor (TV format) | Statement: [EnterMedia, exportedFormat, The Good Doctor (TV format)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exportedFormat Context triple: [EnterMedia, exportedFormat, The Good Doctor (TV format)]
-
A.
canExportToFormat
chosen
Indicates that something has the capability to be exported or converted into a specified file or data format.
-
B.
exportedAs
Indicates that something is made available or delivered to an external destination under a specified name, format, or representation.
-
C.
exportedTo
Indicates that goods, services, or resources are sent out from one entity or region to another for trade or sale.
-
D.
exportedFrom
Indicates that something has been sent out or shipped from a particular place, source, or origin to another location.
-
E.
packageFormat
Indicates the format or type in which a package is structured, encoded, or delivered.
- 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_69e7ab35d264819095367f7e80c983ff |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f600c4aee48190b58b935fac82e9a0 |
completed | May 2, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 7:10 a.m.