Triple
T8416073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Think Different |
E198732
|
entity |
| Predicate | doesNotFocusOn |
P73140
|
FINISHED |
| Object | product specifications |
—
|
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: product specifications | Statement: [Think Different, doesNotFocusOn, product specifications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotFocusOn Context triple: [Think Different, doesNotFocusOn, product specifications]
-
A.
lessFocusOn
chosen
Indicates that one entity directs reduced attention, emphasis, or priority toward another entity or activity compared to alternatives.
-
B.
doesNotTry
Indicates that an entity makes no attempt to perform a particular action or engage in a specified activity.
-
C.
doesNotControl
Indicates that one entity lacks authority, influence, or power to direct, manage, or determine the actions or state of another entity.
-
D.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
E.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb84c5121081908efa3eca25406d3a |
completed | March 31, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69cb70d70ea081909c3dc1bd2ec14f85 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:06 p.m.