Triple
T20409504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bride Stripped Bare |
E500551
|
entity |
| Predicate | originalSongCount |
P10577
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [The Bride Stripped Bare, originalSongCount, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalSongCount Context triple: [The Bride Stripped Bare, originalSongCount, 5]
-
A.
numberOfSongs
chosen
Indicates the quantity of songs associated with a given entity.
-
B.
originalSong
Indicates that one entity is the source or initial version of a song from which another entity (such as a cover, remix, or adaptation) is derived.
-
C.
originalSongAlbum
Indicates that an album is the original release on which a given song first appeared.
-
D.
sangSongsIn
Indicates that one entity performed or vocalized songs in the context, location, or event associated with another entity.
-
E.
containsOriginalSongs
Indicates that one entity includes or features songs that are original compositions rather than covers or adaptations.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3e0c1c8190be39d7f09c839dfa |
completed | April 20, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:29 a.m.