Triple
T28550779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shen Xue |
E722879
|
entity |
| Predicate | partnerInPairsSkating |
P44416
|
FINISHED |
| Object | Zhao Hongbo |
—
|
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: Zhao Hongbo | Statement: [Shen Xue, partnerInPairsSkating, Zhao Hongbo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerInPairsSkating Context triple: [Shen Xue, partnerInPairsSkating, Zhao Hongbo]
-
A.
dancePartner
Indicates that two entities are engaged in or paired together for a dance.
-
B.
performingPartner
Indicates that one entity is the partner who participates in or carries out a performance together with another entity.
-
C.
silverMedalistIceDance
Indicates that an entity achieved second place (won the silver medal) in an ice dance competition or event.
-
D.
partnerInLoveTeam
Indicates that two entities are teammates who are also partners in a romantic or love-based relationship.
-
E.
hasDoublesPartner
chosen
Indicates that one entity serves as the doubles partner of another in a paired or team-based activity or sport.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 28, 2026, 3:42 a.m.