Triple
T33339564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&M |
E853631
|
entity |
| Predicate | censoredTitleVariant |
P70524
|
FINISHED |
| Object | S&M (Come On) |
—
|
NE NERFINISHED |
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: S&M (Come On) | Statement: [S&M, censoredTitleVariant, S&M (Come On)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: censoredTitleVariant Context triple: [S&M, censoredTitleVariant, S&M (Come On)]
-
A.
hasCensoredTitleVariant
chosen
Indicates that an entity has an alternative version of its title that has been modified or censored, typically to remove or obscure sensitive or inappropriate content.
-
B.
hasCensoredTitleVersion
Indicates that an entity has an alternative version of its title in which certain content has been censored, removed, or altered.
-
C.
hasCensorshipTitle
Indicates that an entity has been assigned a specific title or designation for censorship or regulatory control purposes.
-
D.
hasUncensoredTitleVersion
Indicates that an entity has an alternative version of its title that is not censored or edited for sensitive content.
-
E.
hasCensoredVersion
Indicates that one entity is a version of another in which certain content has been removed, obscured, or altered to comply with censorship requirements.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:34 a.m.