Triple
T32536748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irina Rodnina |
E831608
|
entity |
| Predicate | skatedWith |
P166814
|
FINISHED |
| Object | Alexei Ulanov |
—
|
NE NERFINISHED |
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: Alexei Ulanov | Statement: [Irina Rodnina, skatedWith, Alexei Ulanov]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skatedWith Context triple: [Irina Rodnina, skatedWith, Alexei Ulanov]
-
A.
skatedPairsWith
chosen
Indicates that two individuals participated together as a pair in a skating activity or performance.
-
B.
beganSkating
Indicates that an entity initiated the activity of skating at a particular point in time.
-
C.
skatingDiscipline
Indicates the specific type or category of skating discipline associated with an entity (e.g., figure, speed, ice dance).
-
D.
hasSkater
Indicates that an entity is associated with or possesses a skater (e.g., a team, event, or location having one or more skaters).
-
E.
skateboardingDiscipline
Indicates the specific type or category of skateboarding (such as street, park, or vert) associated with an entity.
- 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_69f34924b1cc8190ad3aca0c0f012a7e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c572f79c819095c549d8c9942b3a |
completed | May 3, 2026, 3:48 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:01 a.m.