Triple
T38234456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebecca (1940 film) |
E1013580
|
entity |
| Predicate | blacklistedContentChange |
P78620
|
FINISHED |
| Object | ending altered from novel to satisfy Production Code |
—
|
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: ending altered from novel to satisfy Production Code | Statement: [Rebecca (1940 film), blacklistedContentChange, ending altered from novel to satisfy Production Code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blacklistedContentChange Context triple: [Rebecca (1940 film), blacklistedContentChange, ending altered from novel to satisfy Production Code]
-
A.
blacklistedWriter
Indicates that a writer has been officially banned or prohibited from participation, publication, or recognition by a person, group, or institution.
-
B.
contentRestriction
Indicates that access to or use of certain content is limited or controlled based on specified rules or conditions.
-
C.
censorshipStatusChange
chosen
Indicates a change in an entity’s censorship state, such as being newly censored, uncensored, or having its censorship level modified.
-
D.
wasBlacklisted
Indicates that an entity has been officially banned or excluded from participation, access, or consideration, typically due to disapproval or violation of rules.
-
E.
allowedContent
Indicates that certain content is permitted or acceptable within a given context, policy, or system.
- 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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.