Triple
T13719025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take Care (song "Marvins Room") |
E328976
|
entity |
| Predicate | listeningContext |
P31991
|
FINISHED |
| Object | late-night listening |
—
|
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: late-night listening | Statement: [Take Care (song "Marvins Room"), listeningContext, late-night listening]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: listeningContext Context triple: [Take Care (song "Marvins Room"), listeningContext, late-night listening]
-
A.
listensOn
Indicates that a service or component is configured to receive and accept incoming communication on a specified network port or channel.
-
B.
hasListeningContext
chosen
Indicates that an entity is associated with a particular listening situation or environment in which audio is being received or monitored.
-
C.
canHear
Indicates that one entity is able to perceive sounds produced by another entity.
-
D.
dialogueContext
Indicates the situational and conversational background in which a dialogue occurs, including prior exchanges and relevant circumstances that shape its interpretation.
-
E.
hears
Indicates that one entity perceives or detects sounds produced by another entity or source.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd439a121c81908cae964e7756274c |
completed | April 13, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:55 p.m.