Triple
T4997308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Paul |
E112278
|
entity |
| Predicate | medalAtEvent |
P44482
|
FINISHED |
| Object | gold medal at 2008 Summer Olympics |
—
|
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: gold medal at 2008 Summer Olympics | Statement: [Chris Paul, medalAtEvent, gold medal at 2008 Summer Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalAtEvent Context triple: [Chris Paul, medalAtEvent, gold medal at 2008 Summer Olympics]
-
A.
medalSport
Indicates that a medal was awarded in a particular sport or sporting discipline.
-
B.
OlympicMedalEvent
Indicates that an entity represents a specific Olympic Games event in which medals are awarded.
-
C.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
-
D.
wonMedalAt
chosen
Indicates that an entity received a medal as a result of participating in a specific event or competition.
-
E.
medalIn
Indicates that an entity has received a medal or award in a particular event, field, or competition.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:34 p.m.