Triple
T8431103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherish the Day |
E199114
|
entity |
| Predicate | hasRepresentationFocus |
P103
|
FINISHED |
| Object | Black love and relationships |
—
|
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: Black love and relationships | Statement: [Cherish the Day, hasRepresentationFocus, Black love and relationships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRepresentationFocus Context triple: [Cherish the Day, hasRepresentationFocus, Black love and relationships]
-
A.
hasProgramFocus
Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
-
B.
hasActingFocus
Indicates that an entity is the primary performer or focal agent carrying out an action in a given context.
-
C.
hasSymbolicFocusOn
Indicates that one entity is conceptually or symbolically centered on, directed toward, or primarily concerned with another entity.
-
D.
hasPrimaryFocus
Indicates that something is the main subject, concern, or area of attention for an entity or activity.
-
E.
hasRepresentationIn
chosen
Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0ec200c8190b0299e2b0b4bdcc2 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:07 p.m.