Triple
T2004545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boris Godunov |
E43550
|
entity |
| Predicate | originalVersionCensorshipStatus |
P17134
|
FINISHED |
| Object | rejected by Imperial Theatres censors |
—
|
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: rejected by Imperial Theatres censors | Statement: [Boris Godunov, originalVersionCensorshipStatus, rejected by Imperial Theatres censors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalVersionCensorshipStatus Context triple: [Boris Godunov, originalVersionCensorshipStatus, rejected by Imperial Theatres censors]
-
A.
originalTextStatus
Indicates the relationship between a text and its current state or condition relative to its original, unmodified form.
-
B.
hasCensorshipHistory
chosen
Indicates that an entity has previously been subject to censorship or involved in acts of censoring content.
-
C.
originalRelease
Indicates the initial publication or first official release event of a work or product.
-
D.
canonicalStatus
Indicates the formal or official standing of an entity within an established authoritative or normative system.
-
E.
authorshipStatus
Indicates the current state or condition of an entity’s role as an author in relation to a work (e.g., confirmed, disputed, anonymous, or pending).
- 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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb89717c88190ba506134c671d386 |
completed | March 7, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69abb79e63c08190982c8b44a557266f |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.