Triple
T35805084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PG Era |
E1035082
|
entity |
| Predicate | storylineTone |
P184118
|
FINISHED |
| Object | more comedic segments |
—
|
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: more comedic segments | Statement: [PG Era, storylineTone, more comedic segments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storylineTone Context triple: [PG Era, storylineTone, more comedic segments]
-
A.
storyline
Indicates that one entity serves as the narrative plot or sequence of events associated with another entity.
-
B.
storylineReason
Indicates that one event, action, or situation occurs as a narrative cause or justification for another within a storyline.
-
C.
genreOfStoryline
Indicates the relationship in which a particular genre characterizes or classifies the storyline of a work.
-
D.
storyTitle
Indicates that one entity is the title assigned to a story associated with another entity.
-
E.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.