Triple
T31725700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obadele Thompson |
E809706
|
entity |
| Predicate | medalForGames |
P30971
|
FINISHED |
| Object | 2000 Summer Olympics |
—
|
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: 2000 Summer Olympics | Statement: [Obadele Thompson, medalForGames, 2000 Summer Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalForGames Context triple: [Obadele Thompson, medalForGames, 2000 Summer Olympics]
-
A.
medalSport
Indicates that a medal was awarded in a particular sport or sporting discipline.
-
B.
medalFor
chosen
Indicates that a medal is awarded to an entity in recognition of a specific achievement, action, or service.
-
C.
medalIn
Indicates that an entity has received a medal or award in a particular event, field, or competition.
-
D.
medalType
Indicates the specific category or class of a medal associated with an award or achievement.
-
E.
medalTypesAwarded
Indicates the specific types or categories of medals that have been awarded in a given awarding event or 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_69f348e009c8819095d77df52c645b9c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aafbeb3c8190b1344b21e0b3d9d6 |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:20 p.m.