Triple
T36406486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taufik Hidayat |
E896760
|
entity |
| Predicate | AsianGamesGoldMedalist |
P68604
|
FINISHED |
| Object | badminton men's singles |
—
|
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: badminton men's singles | Statement: [Taufik Hidayat, AsianGamesGoldMedalist, badminton men's singles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AsianGamesGoldMedalist Context triple: [Taufik Hidayat, AsianGamesGoldMedalist, badminton men's singles]
-
A.
AsianGamesGoldMedals
chosen
Indicates that the subject has won one or more gold medals at the Asian Games.
-
B.
PanAmericanGamesGoldMedalist
Indicates that an entity has won a gold medal at the Pan American Games.
-
C.
AsianGamesSport
Indicates that a sport is included as an official event or discipline in the Asian Games.
-
D.
seaGamesGoldMedals
Indicates the number of gold medals an entity has won at the Southeast Asian (SEA) Games.
-
E.
OlympicGoldMedalistFor
Indicates that an entity has won a gold medal at the Olympic Games while representing a specified country, team, or organization.
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.