Triple
T27915198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Strange: Mysteries of the Mystic Arts |
E706048
|
entity |
| Predicate | interactivityLevel |
P3669
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Doctor Strange: Mysteries of the Mystic Arts, interactivityLevel, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interactivityLevel Context triple: [Doctor Strange: Mysteries of the Mystic Arts, interactivityLevel, high]
-
A.
interactive
Indicates that one entity engages in reciprocal or two-way communication or action with another entity.
-
B.
engagementLevel
chosen
Indicates the degree or intensity of involvement, interest, or participation one entity has in relation to another entity, activity, or context.
-
C.
participatingLevel
Indicates the degree or extent to which an entity is involved or engaged in a particular activity, event, or process.
-
D.
interactiveElement
Indicates that one entity functions as an interface component designed to receive and respond to user actions initiated by another entity.
-
E.
intendedAudienceInteraction
Indicates that one entity is the target group or audience with whom another entity is meant to interact or engage.
- 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_69ef96b6cc808190aab19fb18b235f4b |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 27, 2026, 6:53 p.m.