Triple
T1556813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sisyphus |
E33222
|
entity |
| Predicate | CamusInterpretation |
P3051
|
FINISHED |
| Object | embodiment of the absurd hero |
—
|
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: embodiment of the absurd hero | Statement: [Sisyphus, CamusInterpretation, embodiment of the absurd hero]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CamusInterpretation Context triple: [Sisyphus, CamusInterpretation, embodiment of the absurd hero]
-
A.
theologicalInterpretation
Indicates a relationship where an event, text, or phenomenon is understood or explained through religious or doctrinal beliefs and principles.
-
B.
interpreterOfWriting
Indicates that one entity serves to interpret, translate, or explain the written content produced or used by another entity.
-
C.
philosophicalTheme
chosen
Indicates that a work, idea, or discourse centrally involves or explores a particular philosophical concept, question, or line of thought.
-
D.
mottoInterpretation
Indicates the explanatory relationship between a motto and its intended meaning or message.
-
E.
translationPhilosophy
Indicates the guiding approach or set of principles that governs how a text is translated from one language to another.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9407d9d1481909597af97b16512cc |
completed | March 5, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69a907b688d081908171f89010c53973 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:27 p.m.