Triple
T33498610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Celebration |
E857927
|
entity |
| Predicate | Dogme95RuleCompliance |
P176675
|
FINISHED |
| Object | no artificial lighting |
—
|
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: no artificial lighting | Statement: [The Celebration, Dogme95RuleCompliance, no artificial lighting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Dogme95RuleCompliance Context triple: [The Celebration, Dogme95RuleCompliance, no artificial lighting]
-
A.
hasOrthographyGuidelinesBy
Indicates that an entity’s orthography (writing system or spelling conventions) is defined, regulated, or guided by another entity.
-
B.
usesLatinOrthography
Indicates that the subject’s written form is represented using the Latin (Roman) alphabet.
-
C.
hasStandardOrthographySince
Indicates that a language or writing system has used a particular standardized orthography starting from a specified point in time.
-
D.
hasOrthographicConvention
Indicates that there is a specific writing or spelling convention that governs how something is represented in written form.
-
E.
languageReform
Indicates efforts or actions aimed at changing, standardizing, or improving aspects of a language, such as its spelling, grammar, or usage rules.
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e56cfb0c8190a911312571616b06 |
completed | May 3, 2026, 6:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3db74c081909a991309d835d477 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e4a260808190b4aca0b988f3e593 |
completed | May 3, 2026, 6:01 a.m. |
Created at: May 1, 2026, 1:38 a.m.