Triple
T21065490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Close to You and More |
E518956
|
entity |
| Predicate | containsTrackCharacteristic |
P115884
|
FINISHED |
| Object | intimate arrangements |
—
|
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: intimate arrangements | Statement: [Close to You and More, containsTrackCharacteristic, intimate arrangements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsTrackCharacteristic Context triple: [Close to You and More, containsTrackCharacteristic, intimate arrangements]
-
A.
hasTrackFeatures
chosen
Indicates that something possesses or is associated with specific track-related characteristics or attributes.
-
B.
hasCharacteristic
Indicates that an entity possesses, exhibits, or is defined by a particular attribute, feature, or quality.
-
C.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
D.
hasMusicCharacteristic
Indicates that an entity possesses a specific musical feature, quality, or attribute.
-
E.
recordingCharacteristic
Indicates the specific qualities or attributes of how something is recorded, such as its format, medium, or technical properties.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb3799c8190bebabb087b917321 |
completed | April 21, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:44 p.m.