Triple
T10026670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genndy Tartakovsky |
E200745
|
entity |
| Predicate | notableSeriesStyle |
P91776
|
FINISHED |
| Object | limited dialogue storytelling |
—
|
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 dialogue storytelling | Statement: [Genndy Tartakovsky, notableSeriesStyle, limited dialogue storytelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSeriesStyle Context triple: [Genndy Tartakovsky, notableSeriesStyle, limited dialogue storytelling]
-
A.
notableSeries
Indicates that an entity is a significant or well-known installment within a particular series or franchise.
-
B.
notableSeriesFocus
Indicates that a notable series primarily centers on, highlights, or is thematically focused around a particular subject or entity.
-
C.
notableOriginalSeries
Indicates that an entity is recognized as a significant or distinguished original series associated with another entity (such as a platform, creator, or franchise).
-
D.
notableShow
Indicates that a show is especially prominent, distinguished, or significant in some noteworthy way.
-
E.
notableSeriesEra
Indicates the historical period or era during which a series is notably set, produced, or most prominently recognized.
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcde3c1b88190924e6158f406b453 |
completed | April 2, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69cd4b7cd4208190b2253583ee2f892c |
completed | April 1, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:54 p.m.