Triple
T6042871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albedo 0.39 (track) |
E134590
|
entity |
| Predicate | hasSpaceThemedSound |
P68354
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Albedo 0.39 (track), hasSpaceThemedSound, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpaceThemedSound Context triple: [Albedo 0.39 (track), hasSpaceThemedSound, yes]
-
A.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
B.
soundEffects
Indicates that one entity produces, contains, or is associated with sound effects used to accompany or enhance another entity.
-
C.
hasHeavierSoundThan
Indicates that one entity produces or is associated with a sound that is sonically heavier, more intense, or more forceful than that of another entity.
-
D.
hasAmbience
Indicates that one entity provides or is characterized by a particular atmosphere, mood, or environmental quality experienced in or around another entity.
-
E.
hasPartialSound
Indicates that one entity’s sound is included as a component or segment within the sound of another entity.
- F. None of above. chosen
Provenance (4 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e108fc81908775d176ff960fad |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:08 p.m.