Triple
T35053643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emotion Engine |
E1011399
|
entity |
| Predicate | vectorUnit |
P182054
|
FINISHED |
| Object | VU0 |
—
|
NE NERFINISHED |
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: VU0 | Statement: [Emotion Engine, vectorUnit, VU0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vectorUnit Context triple: [Emotion Engine, vectorUnit, VU0]
-
A.
vector
Indicates that one entity is a vector associated with, representing, or characterizing another entity (such as a quantity with magnitude and direction, or a carrier/representative of something).
-
B.
isVectorMagnitudeUnit
Indicates that a given unit is used to measure the magnitude (size or length) of a vector quantity.
-
C.
vectorLength
Indicates the numerical magnitude or size of a vector, typically computed from its components.
-
D.
vectorType
Indicates that one entity is classified as the type or category of vector associated with another entity.
-
E.
secondUnitDirected
Indicates that the second unit in a pair is the one toward which an action, orientation, or directive is specifically aimed or directed.
- F. None of above. chosen
Provenance (4 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865578d48190bf90e470634fd97d |
completed | May 3, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f78575917481909a3defd6a4c366bd |
completed | May 3, 2026, 5:27 p.m. |
Created at: May 3, 2026, 4:01 p.m.