Triple
T34338802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empty Spaces |
E881226
|
entity |
| Predicate | hasTrackTransitionTo |
P150136
|
FINISHED |
| Object | Young Lust |
—
|
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: Young Lust | Statement: [Empty Spaces, hasTrackTransitionTo, Young Lust]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrackTransitionTo Context triple: [Empty Spaces, hasTrackTransitionTo, Young Lust]
-
A.
hasTransitionTo
chosen
Indicates that one state, condition, or entity can change or move into another specified state, condition, or entity.
-
B.
isTransitionalTrackOn
Indicates that a given track functions as a transitional segment connecting two other sections or states within a sequence or system.
-
C.
hasTrackContext
Indicates that an entity is associated with or occurs within a particular track-related context (such as a specific track, route, or sequence).
-
D.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
E.
hasTransitionType
Indicates the type or category of transition that occurs between two states, phases, or conditions.
- 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_69f349bc55e881908c8e338ef76b0043 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff6fba1a5c8190a660279a6271d785 |
completed | May 9, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69ff6f59388c8190a7d6ab7bc7705bc0 |
completed | May 9, 2026, 5:31 p.m. |
Created at: May 1, 2026, 1:58 a.m.