Triple
T17182999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rape Me |
E417026
|
entity |
| Predicate | intendedMeaningAccordingToAuthor |
P67724
|
FINISHED |
| Object | anti-rape song |
—
|
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: anti-rape song | Statement: [Rape Me, intendedMeaningAccordingToAuthor, anti-rape song]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedMeaningAccordingToAuthor Context triple: [Rape Me, intendedMeaningAccordingToAuthor, anti-rape song]
-
A.
intendedInterpretation
chosen
Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
-
B.
originalMeaning
Indicates that something retains or conveys its initial, intended sense or significance, as opposed to a later or altered interpretation.
-
C.
writingMeaning
Indicates that one entity expresses or conveys a particular meaning through writing about another entity or topic.
-
D.
possibleMeaning
Indicates that something may plausibly represent, signify, or be interpreted as a particular meaning or sense.
-
E.
intendedWith
Indicates that one entity is the planned or desired target, recipient, or context for the use or application of another entity.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d934ec08190acc47073758ac3c0 |
completed | April 19, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.