Triple
T8707875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noÿs Lambent |
E206693
|
entity |
| Predicate | importanceToSetting |
P1887
|
FINISHED |
| Object | connects Eternity with normal time |
—
|
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: connects Eternity with normal time | Statement: [Noÿs Lambent, importanceToSetting, connects Eternity with normal time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importanceToSetting Context triple: [Noÿs Lambent, importanceToSetting, connects Eternity with normal time]
-
A.
peakImportance
Indicates that something reaches or represents the highest level of importance within a given context or timeframe.
-
B.
isImportantFor
chosen
Indicates that something holds significant value, relevance, or necessity in relation to something else.
-
C.
notableSetting
Indicates that a particular place or environment is especially significant or prominent as the context in which an entity is situated or occurs.
-
D.
lostImportanceUnder
Indicates that one entity’s importance or prominence decreased when another specified entity came into power, control, or influence.
-
E.
screenTimeImportance
Indicates how important or significant the amount of time spent using screens or digital devices is considered in a given context.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58ffa6a481908866b6239d1d9b92 |
completed | March 31, 2026, 11:30 p.m. |
| PD | Predicate disambiguation | batch_69cc456bda508190a9aa0fb92760739e |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.