Triple
T23515639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get Smart's Bruce and Lloyd: Out of Control |
E574354
|
entity |
| Predicate | isSideStoryTo |
P152690
|
FINISHED |
| Object | Get Smart (2008 film) |
—
|
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: Get Smart (2008 film) | Statement: [Get Smart's Bruce and Lloyd: Out of Control, isSideStoryTo, Get Smart (2008 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSideStoryTo Context triple: [Get Smart's Bruce and Lloyd: Out of Control, isSideStoryTo, Get Smart (2008 film)]
-
A.
hasSiblingInStory
Indicates that one character in a narrative has at least one sibling who also appears within the same story.
-
B.
isStoried
Indicates that something has a rich history, reputation, or legacy built up over time, often marked by notable events or traditions.
-
C.
isNarrativeDriven
Indicates that an entity’s primary structure or progression is guided by a storyline or plot rather than by mechanics, data, or other non-story elements.
-
D.
appearsInShortStoryBy
Indicates that one entity is a character, element, or subject that appears within a short story authored by another entity.
-
E.
hasVariantStoriesIn
Indicates that an entity has alternative or differing narrative versions that occur or are found within a specified context or source.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa81ab4c8190b85c8f80754020ea |
completed | April 29, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 6:08 p.m.