Triple
T291599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Alexandra Feodorovna |
E6005
|
entity |
| Predicate | causeOfSonIllnessContext |
P694
|
FINISHED |
| Object | hemophilia in Alexei Nikolaevich |
—
|
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: hemophilia in Alexei Nikolaevich | Statement: [Empress Alexandra Feodorovna, causeOfSonIllnessContext, hemophilia in Alexei Nikolaevich]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfSonIllnessContext Context triple: [Empress Alexandra Feodorovna, causeOfSonIllnessContext, hemophilia in Alexei Nikolaevich]
-
A.
causeOf
chosen
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
B.
causeOfDeath
Indicates the specific factor, event, or condition that directly resulted in an entity’s death.
-
C.
claimedFather
Indicates that one entity is asserted or alleged to be the father of another entity, without guaranteeing the claim’s truth.
-
D.
parentalCare
Indicates that one entity provides nurturing, protection, or support to another in a parent-like role.
-
E.
diagnosedWith
Indicates that a subject has been identified, typically by a medical professional, as having a particular disease or medical condition.
- 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.