Triple
T28923628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madonna: True Blue (music video) |
E733584
|
entity |
| Predicate | featuresPerformanceLocationType |
P67548
|
FINISHED |
| Object | soundstage |
—
|
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: soundstage | Statement: [Madonna: True Blue (music video), featuresPerformanceLocationType, soundstage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresPerformanceLocationType Context triple: [Madonna: True Blue (music video), featuresPerformanceLocationType, soundstage]
-
A.
featuresLocation
Indicates that something is characterized by or includes a specific location as one of its notable attributes.
-
B.
featureType
Indicates the specific kind or category of feature that characterizes or distinguishes an entity.
-
C.
hasPerformanceLocation
chosen
Indicates that an event, performance, or show takes place at a specified location or venue.
-
D.
placeType
Indicates the type or category of place associated with an entity (e.g., city, park, building).
-
E.
platformLocation
Indicates the spatial position or placement of a platform relative to a reference point or environment.
- 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fed357b2b4819084c709056a54461f |
completed | May 9, 2026, 6:25 a.m. |
| PD | Predicate disambiguation | batch_69fed103d9cc81909b11619745110c61 |
completed | May 9, 2026, 6:15 a.m. |
Created at: April 28, 2026, 8:21 a.m.