Triple
T23678002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefan Butler |
E584936
|
entity |
| Predicate | breaksFourthWallWith |
P99130
|
FINISHED |
| Object | Netflix |
—
|
NE NERFINISHED |
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: Netflix | Statement: [Stefan Butler, breaksFourthWallWith, Netflix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: breaksFourthWallWith Context triple: [Stefan Butler, breaksFourthWallWith, Netflix]
-
A.
breaksFourthWallIn
Indicates that an entity directly acknowledges or addresses the audience or the fact that it is in a fictional work within a given context or medium.
-
B.
breaksFourthWall
chosen
Indicates that an entity directly acknowledges or addresses the audience or the fact that it is within a fictional work, thereby breaking the narrative illusion.
-
C.
speaksWith
Indicates that one entity engages in spoken communication or conversation with another entity.
-
D.
givesSpeechIn
Indicates that an entity delivers or presents a speech within a particular location, event, or context.
-
E.
collaboratesWithCharacter
Indicates that one character works together with another character toward a shared goal or activity.
- 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_69e24901f7c08190909fd727632e823d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4f4d4388190a0e439f4df7a0f23 |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:51 p.m.