Triple
T4238967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G.722 |
E94763
|
entity |
| Predicate | recommendationSeries |
P54870
|
FINISHED |
| Object | G-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: G-series | Statement: [G.722, recommendationSeries, G-series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recommendationSeries Context triple: [G.722, recommendationSeries, G-series]
-
A.
homeSeriesGenre
Indicates that a home media series (such as a TV or video series) belongs to or is categorized under a particular genre.
-
B.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
-
C.
shows
Indicates that one entity presents, displays, or makes another entity visible or known to an audience or observer.
-
D.
notableSeries
Indicates that an entity is a significant or well-known installment within a particular series or franchise.
-
E.
homeSeries
Indicates that one entity serves as the primary or home series to which another entity (such as an episode, installment, or related work) belongs.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e76b6e0819084d0ce137b5ba74e |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e04ef1c81908bb34ae1cbfab1e6 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:05 p.m.