Triple
T36152262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brad Pitt as Jerry Welbach |
E1045620
|
entity |
| Predicate | primaryPlotTask |
P71660
|
FINISHED |
| Object | retrieve a cursed antique pistol |
—
|
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: retrieve a cursed antique pistol | Statement: [Brad Pitt as Jerry Welbach, primaryPlotTask, retrieve a cursed antique pistol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryPlotTask Context triple: [Brad Pitt as Jerry Welbach, primaryPlotTask, retrieve a cursed antique pistol]
-
A.
taskInPlot
Indicates that a specific task occurs within, is associated with, or is part of a particular plot or storyline.
-
B.
partOfPlot
Indicates that one event, action, or element is a constituent component within the overall plot of a narrative.
-
C.
majorPlotPoint
chosen
Indicates that an event or development plays a central, pivotal role in the overall progression or outcome of the plot.
-
D.
primaryTask
Indicates that an entity has a main or most important task, role, or function it is responsible for above all others.
-
E.
mainSettingOfStory
Indicates that a location or environment serves as the primary setting in which the events of a story take place.
- 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_69f76e38903c8190a52887620f90aabe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:08 p.m.