Triple
T35870965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forty Spiritual Rules About Love |
E1037219
|
entity |
| Predicate | regardsLoveAs |
P178391
|
FINISHED |
| Object | transformative force |
—
|
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: transformative force | Statement: [Forty Spiritual Rules About Love, regardsLoveAs, transformative force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regardsLoveAs Context triple: [Forty Spiritual Rules About Love, regardsLoveAs, transformative force]
-
A.
regards
Indicates that one entity considers, views, or treats another entity in a particular way or with a certain attitude.
-
B.
attitudeTowardLove
Indicates an entity’s feelings, beliefs, or stance regarding the concept or experience of love.
-
C.
regardsAs
chosen
Indicates that one entity considers or treats another entity as having a particular status, role, or quality.
-
D.
affectionReciprocated
Indicates that feelings of affection expressed by one entity toward another are mutually returned by the other entity.
-
E.
loveisrespectFocus
Indicates that genuine love is characterized by giving focused, undivided respect and attentive consideration to the other person.
- 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_69f76e1e701c8190a4990d4978ce4fe6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3883d48190b05e3d2da7a017ae |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.