Triple
T27312675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xue Yinxian |
E689249
|
entity |
| Predicate | roleInDopingSystem |
P192827
|
FINISHED |
| Object | team doctor |
—
|
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: team doctor | Statement: [Xue Yinxian, roleInDopingSystem, team doctor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInDopingSystem Context triple: [Xue Yinxian, roleInDopingSystem, team doctor]
-
A.
roleAtTheAthletic
Indicates that an entity holds or held a specific role or position at The Athletic.
-
B.
leagueSystemRole
Indicates the specific role or function an entity holds within a league’s organizational or competitive system.
-
C.
olympicCycleRole
Indicates the specific role or function an entity has within a particular Olympic Games cycle.
-
D.
roleAtIRacing
Indicates the specific role, position, or function an entity holds within the iRacing organization or platform.
-
E.
hasDisciplineRole
Indicates that an entity holds a specific role or function within a particular discipline or field.
- 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_69ef355c53a08190a8a92e355a7ce115 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
| PDg | Predicate description generation | batch_69fd2cf29f808190856ab1d43a51d5c7 |
completed | May 8, 2026, 12:23 a.m. |
Created at: April 27, 2026, 11:28 a.m.