Triple
T32676192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collapsible Lung |
E835438
|
entity |
| Predicate | hasMainstreamSound |
P202646
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Collapsible Lung, hasMainstreamSound, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainstreamSound Context triple: [Collapsible Lung, hasMainstreamSound, true]
-
A.
hasMainGenre
Indicates that an entity’s primary or most characteristic genre is the specified genre.
-
B.
isEarlyMainstreamHitFor
Indicates that something achieved significant popularity or success relatively early within the broader mainstream adoption of a work, trend, or phenomenon.
-
C.
hasPopularMusic
Indicates that an entity is associated with or features music that is widely liked, well-known, or commercially successful.
-
D.
hasMoreContemporarySound
Indicates that one entity’s sound or style is perceived as more modern or up-to-date compared to another.
-
E.
hasMainInstrumentalElements
Indicates that one entity includes or is characterized by the primary instrumental components or parts 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_69f3493134b48190aa3c8cb523bd3800 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a00a602b6b48190a9dea8ae22d2fa05 |
completed | May 10, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_6a00a559bf3881909a7b50776d8f47bb |
completed | May 10, 2026, 3:33 p.m. |
| PDg | Predicate description generation | batch_6a00a601ff988190b3eb7a9abc92a557 |
completed | May 10, 2026, 3:36 p.m. |
Created at: May 1, 2026, 1:09 a.m.