Triple
T28550847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhao Hongbo |
E722880
|
entity |
| Predicate | formedElitePairWith |
P45764
|
FINISHED |
| Object | Shen Xue |
—
|
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: Shen Xue | Statement: [Zhao Hongbo, formedElitePairWith, Shen Xue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formedElitePairWith Context triple: [Zhao Hongbo, formedElitePairWith, Shen Xue]
-
A.
formedDuoWith
chosen
Indicates that two entities joined together to create a duo, typically collaborating or acting as a pair for a shared purpose or activity.
-
B.
pairedSingleWith
Indicates that one entity is matched or associated as a single counterpart with another single entity, typically forming an exclusive one-to-one pairing.
-
C.
pairedWithFunctionally
Indicates that one entity is functionally matched or coupled with another to perform a complementary or corresponding role.
-
D.
commonPair
Indicates that two entities commonly occur together or are frequently associated as a pair in some shared context.
-
E.
championPairs
Indicates a relationship where two entities are linked as a champion pair, typically representing partners or counterparts that jointly hold or share a champion status in some context.
- 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_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: April 28, 2026, 3:42 a.m.