Triple
T291614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Alexandra Feodorovna |
E6005
|
entity |
| Predicate | personalityDescribedAs |
P662
|
FINISHED |
| Object | shy |
—
|
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: shy | Statement: [Empress Alexandra Feodorovna, personalityDescribedAs, shy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: personalityDescribedAs Context triple: [Empress Alexandra Feodorovna, personalityDescribedAs, shy]
-
A.
characterizedBy
chosen
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
B.
describes
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
C.
describedByAuthorAs
Indicates that one entity is characterized, labeled, or portrayed in a particular way by an author.
-
D.
selfIdentification
Indicates that an entity defines or declares its own identity, attributes, or classification about itself.
-
E.
hasDecisionMakingStyle
Indicates that an entity possesses or exhibits a particular way or pattern of making decisions.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea0dd1dc8190aecd5afdeb2fd74b |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e934b4408190b53a17f57a02df65 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.