Triple
T16641151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hard Out Here |
E404339
|
entity |
| Predicate | censoredTitleVersion |
P70524
|
FINISHED |
| Object | Hard Out Here for a Bitch |
—
|
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: Hard Out Here for a Bitch | Statement: [Hard Out Here, censoredTitleVersion, Hard Out Here for a Bitch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: censoredTitleVersion Context triple: [Hard Out Here, censoredTitleVersion, Hard Out Here for a Bitch]
-
A.
hasCensoredTitleVersion
Indicates that an entity has an alternative version of its title in which certain content has been censored, removed, or altered.
-
B.
hasUncensoredTitleVersion
Indicates that an entity has an alternative version of its title that is not censored or edited for sensitive content.
-
C.
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.
-
D.
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.
-
E.
censoredEpisodesInvolve
Indicates that the episodes which were censored contain or feature the specified content or elements.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad1a7748190aa9308d4e96c566c |
completed | April 18, 2026, 12:36 p.m. |
| PD | Predicate disambiguation | batch_69e296af2f88819092c9ffee4a65d7dd |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:18 a.m.