Triple
T36420503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Après moi le déluge |
E897139
|
entity |
| Predicate | describesAttitude |
P27747
|
FINISHED |
| Object | lack of concern for posterity |
—
|
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: lack of concern for posterity | Statement: [Après moi le déluge, describesAttitude, lack of concern for posterity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesAttitude Context triple: [Après moi le déluge, describesAttitude, lack of concern for posterity]
-
A.
attitudeTowardOthers
Indicates the nature or disposition of one entity’s feelings, judgments, or behavioral stance toward other entities.
-
B.
hasUserAttitude
chosen
Indicates that one entity holds a particular attitude, opinion, or evaluative stance toward another entity or subject.
-
C.
cultAttitude
Indicates the stance, beliefs, or disposition that a cult or cult-like group holds toward a particular entity, idea, or practice.
-
D.
attitudeToRa’y
Indicates the nature or stance of one entity’s attitude, opinion, or feeling toward Ra’y.
-
E.
attitudeTowardLove
Indicates an entity’s feelings, beliefs, or stance regarding the concept or experience of love.
- 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_69f76e559b10819099d6655a6e14587c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: May 3, 2026, 4:10 p.m.