Triple
T28550838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhao Hongbo |
E722880
|
entity |
| Predicate | olympicGoldMedalEvent |
P57435
|
FINISHED |
| Object | pairs free skating and short program combined |
—
|
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: pairs free skating and short program combined | Statement: [Zhao Hongbo, olympicGoldMedalEvent, pairs free skating and short program combined]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicGoldMedalEvent Context triple: [Zhao Hongbo, olympicGoldMedalEvent, pairs free skating and short program combined]
-
A.
olympicGoldMedalInEvent
chosen
Indicates that an entity has won an Olympic gold medal in a specified sporting event.
-
B.
OlympicGoldMedalSport
Indicates that the subject sport is one in which the object athlete or team has won an Olympic gold medal.
-
C.
OlympicMedalEvent
Indicates that an entity represents a specific Olympic Games event in which medals are awarded.
-
D.
olympicEventType
Indicates the specific category or discipline of an event within the Olympic Games.
-
E.
athleticsGoldMedals
Indicates that the subject has won one or more gold medals in athletics competitions.
- 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_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 28, 2026, 3:42 a.m.