Triple
T35470566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Sapphire |
E1025195
|
entity |
| Predicate | emotionAssociatedWith |
P82444
|
FINISHED |
| Object | love |
—
|
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: love | Statement: [Star Sapphire, emotionAssociatedWith, love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emotionAssociatedWith Context triple: [Star Sapphire, emotionAssociatedWith, love]
-
A.
emotionAssociation
chosen
Indicates an emotional relationship or connection that one entity has toward another entity or concept.
-
B.
emotionDomain
Indicates the general emotional category or type to which a specific emotion belongs (e.g., grouping emotions into broader domains like joy, anger, or fear).
-
C.
emotionEffect
Indicates that one entity’s emotional state causes or influences a change in another entity’s feelings, behavior, or condition.
-
D.
emotionState
Indicates the emotional condition or feeling that an entity is currently experiencing.
-
E.
emotionValence
Indicates the positive, negative, or neutral emotional value or tone associated with an entity, event, or state.
- 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_69f76dfa20d0819089585dc2cf653aea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:04 p.m.