Triple
T32365651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Find You |
E826981
|
entity |
| Predicate | hasBuildUpAndDrop |
P102131
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Find You, hasBuildUpAndDrop, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildUpAndDrop Context triple: [Find You, hasBuildUpAndDrop, yes]
-
A.
hasFinalDrop
Indicates that an entity experiences or possesses a last or concluding decrease, reduction, or decline in some quantity, state, or value.
-
B.
hasMelodicDrop
chosen
Indicates that a musical piece or section features a pronounced melodic drop, where the melody shifts dramatically in pitch, intensity, or texture to create a climactic or contrasting moment.
-
C.
buildsUpTo
Indicates that one event, action, or state progressively leads toward, prepares for, or culminates in another.
-
D.
verticalDrop_m
Indicates the vertical distance, measured in meters, through which something drops or falls from a higher point to a lower point.
-
E.
builtUpBy
Indicates that something has been constructed, developed, or formed through the actions or contributions of a specified agent or process.
- 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_69f349166d548190887b412fe908e2f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 1, 2026, 12:50 a.m.