Triple
T29474895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Roulette |
E747619
|
entity |
| Predicate | hasGameWithinPlot |
P53895
|
FINISHED |
| Object | truth-telling game |
—
|
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: truth-telling game | Statement: [Chinese Roulette, hasGameWithinPlot, truth-telling game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGameWithinPlot Context triple: [Chinese Roulette, hasGameWithinPlot, truth-telling game]
-
A.
containsPlayWithinPlay
Indicates that one play or dramatic work includes another play performed or depicted within its own narrative.
-
B.
hasMainPlotElement
chosen
Indicates that one entity serves as a central or primary plot element within the narrative of another entity.
-
C.
partOfPlot
Indicates that one event, action, or element is a constituent component within the overall plot of a narrative.
-
D.
hasMinimalPlot
Indicates that a work’s storyline is very simple, sparse, or lacking in substantial narrative development.
-
E.
hasNotableTraitInPlot
Indicates that a character or entity possesses a distinctive trait that plays a significant role within the narrative or plot.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 3:59 p.m.