Triple
T12965786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cool Blue |
E321257
|
entity |
| Predicate | intendedConsumers |
P61966
|
FINISHED |
| Object | athletes |
—
|
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: athletes | Statement: [Cool Blue, intendedConsumers, athletes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedConsumers Context triple: [Cool Blue, intendedConsumers, athletes]
-
A.
intendedClients
Indicates the entities that a product, service, or action is specifically designed or targeted to serve as clients.
-
B.
intendedTargets
chosen
Indicates that an action, message, or object is specifically directed toward or meant to affect particular target entities.
-
C.
isConsumerOriented
Indicates that something is designed, targeted, or tailored primarily to meet the needs, preferences, or interests of consumers.
-
D.
intendedToServe
Indicates that one entity was designed, planned, or purposed specifically to benefit, assist, or fulfill the needs of another entity.
-
E.
intendedDistribution
Indicates the planned or expected way in which something is to be distributed among recipients or locations.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:28 p.m.