Triple
T13601180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forget You |
E324943
|
entity |
| Predicate | hasUncensoredTitleVersion |
P110263
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Forget You, hasUncensoredTitleVersion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUncensoredTitleVersion Context triple: [Forget You, hasUncensoredTitleVersion, true]
-
A.
hasCensoredTitleVersion
Indicates that an entity has an alternative version of its title in which certain content has been censored, removed, or altered.
-
B.
hasCensoredTitleVariant
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.
-
C.
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.
-
D.
hasVocalVersionTitle
Indicates that an item has a vocal version whose title is given by the associated value.
-
E.
hasAlternativeEditionTitle
Indicates that an entity has a different or variant title used in another edition of the same work.
- F. None of above. chosen
Provenance (4 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ad3f48190a2173e42c5cfedb1 |
completed | April 12, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaf9f3bdc8190838539aaef1f422b |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 9, 2026, 9:49 p.m.