Triple
T25380456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I-and-I |
E631371
|
entity |
| Predicate | worldviewImplication |
P164984
|
FINISHED |
| Object | encourages mutual respect and solidarity |
—
|
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: encourages mutual respect and solidarity | Statement: [I-and-I, worldviewImplication, encourages mutual respect and solidarity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldviewImplication Context triple: [I-and-I, worldviewImplication, encourages mutual respect and solidarity]
-
A.
worldview
Indicates the overarching perspective or framework through which an entity interprets and understands the world and its experiences.
-
B.
domainOfBelief
Indicates the conceptual area or subject matter that a particular belief pertains to or is about.
-
C.
considersWorld
Indicates that one entity regards, evaluates, or takes into account another entity as a world or overall context.
-
D.
viewOnWorldliness
Indicates a perspective, judgment, or stance someone holds regarding worldliness, such as attitudes toward materialism, secular concerns, or worldly lifestyles.
-
E.
influencedBeliefAbout
Indicates that one entity has affected or shaped another entity’s belief or opinion regarding a particular subject or target.
- 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 21, 2026, 1:46 p.m.