Triple
T27847733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kraven the Hunter |
E703868
|
entity |
| Predicate | relativeTypeOfDmitri Smerdyakov |
P200558
|
FINISHED |
| Object | half-brother |
—
|
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: half-brother | Statement: [Kraven the Hunter, relativeTypeOfDmitri Smerdyakov, half-brother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeTypeOfDmitri Smerdyakov Context triple: [Kraven the Hunter, relativeTypeOfDmitri Smerdyakov, half-brother]
-
A.
relationshipTypeWithAlexeiIvanovich
Indicates the specific nature or category of relationship that an entity has with Alexei Ivanovich.
-
B.
hasRelationshipTypeWithNastasyaFilippovna
Indicates that an entity has a specific type of relationship with Nastasya Filippovna.
-
C.
relationshipTypeWithDmitriGurov
Indicates the specific nature or category of the relationship that an entity has with Dmitri Gurov.
-
D.
relationshipToTatyanaLarina
Indicates the specific personal or social connection that an entity has to Tatyana Larina.
-
E.
hasRelationshipTypeWithAglayaIvanovna
Indicates that an entity has a specific type of relationship or connection with Aglaya Ivanovna.
- F. None of above. chosen
Provenance (4 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69ff965f9be48190b015b788207be676 |
completed | May 9, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69ff95d3015c8190b9d293fe31b859c3 |
completed | May 9, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69ff965eef90819097499d1f0542378c |
completed | May 9, 2026, 8:17 p.m. |
Created at: April 27, 2026, 6:08 p.m.