Triple
T36479743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank (Black Mirror: Hang the DJ) |
E898777
|
entity |
| Predicate | narrativeTwistContext |
P178357
|
FINISHED |
| Object | revealed to be a simulated copy |
—
|
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: revealed to be a simulated copy | Statement: [Frank (Black Mirror: Hang the DJ), narrativeTwistContext, revealed to be a simulated copy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeTwistContext Context triple: [Frank (Black Mirror: Hang the DJ), narrativeTwistContext, revealed to be a simulated copy]
-
A.
storyTwist
chosen
Indicates an unexpected development or reversal that significantly changes the direction or understanding of a story’s events or relationships.
-
B.
narrativeShift
Indicates a change in the narrative perspective, time, focus, or structure within a story or discourse.
-
C.
narrativeConsequence
Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
-
D.
narrativePremise
Indicates the foundational situation, conflict, or setup that initiates and drives the narrative’s events.
-
E.
narrativeSituation
Indicates the contextual relationship that defines how events, characters, and perspectives are arranged and presented within a 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_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: May 3, 2026, 4:10 p.m.