Triple
T8814350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prospero |
E209740
|
entity |
| Predicate | publicKnowledgeStatus |
P33766
|
FINISHED |
| Object | unofficially reported |
—
|
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: unofficially reported | Statement: [Prospero, publicKnowledgeStatus, unofficially reported]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicKnowledgeStatus Context triple: [Prospero, publicKnowledgeStatus, unofficially reported]
-
A.
publicInterestStatus
Indicates that something has been evaluated or designated in terms of its relevance, importance, or impact to the general public or society at large.
-
B.
positionOnKnowledge
Indicates the stance, viewpoint, or level of agreement an entity holds regarding a particular piece or body of knowledge.
-
C.
loreStatus
chosen
Indicates the canonical or contextual standing of something within a fictional or narrative universe (such as whether it is official, speculative, or non-canonical lore).
-
D.
knowledgeExchange
Indicates a reciprocal sharing or transfer of knowledge, information, or expertise between entities.
-
E.
canonicalStatus
Indicates the formal or official standing of an entity within an established authoritative or normative 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_69ca8363f3308190a47e3f1ebd51f613 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ff1a4448190b5559f440d264442 |
completed | March 31, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:45 p.m.