Triple
T13420714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mackenzies |
E313342
|
entity |
| Predicate | hasTrackAppearanceType |
P3284
|
FINISHED |
| Object | album track |
—
|
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: album track | Statement: [The Mackenzies, hasTrackAppearanceType, album track]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrackAppearanceType Context triple: [The Mackenzies, hasTrackAppearanceType, album track]
-
A.
hasScreenAppearanceType
Indicates the type or manner in which an entity appears or is presented on a screen.
-
B.
hasTrack
chosen
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
C.
hasMediaAppearanceIn
Indicates that an entity appears or is featured as media content within a specified media work, program, or publication.
-
D.
hasStageAppearanceWith
Indicates that two or more entities appear together in the same staged performance or event.
-
E.
hasTailTracks
Indicates that an entity exhibits or leaves behind tail-shaped tracks or imprints as evidence of its movement or presence.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb98e808190948013e8f24779c6 |
completed | April 12, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:39 p.m.