Triple
T13496391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twiggy Ramirez |
E320771
|
entity |
| Predicate | songwritingContribution |
P83542
|
FINISHED |
| Object | co-wrote many Marilyn Manson songs in the 1990s |
—
|
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: co-wrote many Marilyn Manson songs in the 1990s | Statement: [Twiggy Ramirez, songwritingContribution, co-wrote many Marilyn Manson songs in the 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: songwritingContribution Context triple: [Twiggy Ramirez, songwritingContribution, co-wrote many Marilyn Manson songs in the 1990s]
-
A.
songwritingCredit
Indicates that one entity is credited as a songwriter or co-songwriter for a musical work associated with another entity.
-
B.
coSongwriter
chosen
Indicates that two or more entities collaborated in writing the same song.
-
C.
songwriterCollective
Indicates a relationship where a songwriter is a member of, or affiliated with, a collective group of songwriters.
-
D.
songwritingApproach
Indicates the method or style an entity uses when creating or composing songs.
-
E.
showcasesSongwriting
Indicates that something highlights or demonstrates the quality, style, or skill of a particular songwriting effort.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4e9ca4819083116890a65389f9 |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.