Triple
T36480579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victory Project |
E898802
|
entity |
| Predicate | disruptionCauseInPlot |
P122823
|
FINISHED |
| Object | Alice's growing suspicion |
—
|
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: Alice's growing suspicion | Statement: [Victory Project, disruptionCauseInPlot, Alice's growing suspicion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disruptionCauseInPlot Context triple: [Victory Project, disruptionCauseInPlot, Alice's growing suspicion]
-
A.
causeInStory
chosen
Indicates that one event, action, or state functions as the cause of another within the narrative structure of a story.
-
B.
problemInPlot
Indicates that there is an issue, flaw, or inconsistency present within the structure or progression of a plot.
-
C.
partOfPlot
Indicates that one event, action, or element is a constituent component within the overall plot of a narrative.
-
D.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
E.
arrestIsPlotCatalystOf
Indicates that an arrest event serves as a key plot catalyst or turning point for the associated narrative.
- 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.