Triple
T14878315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arc Reactor |
E349925
|
entity |
| Predicate | problemInStory |
P76396
|
FINISHED |
| Object | palladium poisoning of Tony Stark |
—
|
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: palladium poisoning of Tony Stark | Statement: [Arc Reactor, problemInStory, palladium poisoning of Tony Stark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: problemInStory Context triple: [Arc Reactor, problemInStory, palladium poisoning of Tony Stark]
-
A.
problemInPlot
Indicates that there is an issue, flaw, or inconsistency present within the structure or progression of a plot.
-
B.
problemStatement
Indicates that an entity presents, defines, or expresses a specific problem or issue to be addressed.
-
C.
storyConflict
chosen
Indicates a relationship where a story contains or centers around a central problem, opposition, or tension that drives its plot.
-
D.
resolutionInStory
Indicates the part of a narrative where the central conflicts are resolved and the story’s outcomes are finalized.
-
E.
problemType
Indicates the specific category or classification of a problem within a defined problem space or system.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e4e4448190a8796573bc6d1069 |
completed | April 15, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69de8c1a2bcc81908f914e2e2ced65eb |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:55 a.m.