Triple
T33954888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Släpp fångarne loss – det är vår! |
E870541
|
entity |
| Predicate | hasAbsurdistElements |
P177964
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Släpp fångarne loss – det är vår!, hasAbsurdistElements, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAbsurdistElements Context triple: [Släpp fångarne loss – det är vår!, hasAbsurdistElements, true]
-
A.
hasComedyElements
Indicates that something contains humorous or comedic aspects as part of its overall content or style.
-
B.
hasIronicMeaning
Indicates that something conveys a meaning opposite to or incongruent with its literal expression, creating an ironic effect.
-
C.
hasFictionalContent
Indicates that something contains or includes material that is imaginary, invented, or not intended to represent real events or facts.
-
D.
hasAphoristicStructure
Indicates that something is organized or expressed in the concise, pointed, and self-contained form characteristic of an aphorism.
-
E.
hasHorrorElements
Indicates that something contains features, themes, or stylistic aspects characteristic of the horror genre.
- F. None of above. chosen
Provenance (4 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f7064d37388190993b2a7305a02b9f |
completed | May 3, 2026, 8:24 a.m. |
Created at: May 1, 2026, 1:49 a.m.