Triple
T28659698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linford Christie |
E725431
|
entity |
| Predicate | wonCommonwealthGamesGoldInEvent |
P165185
|
FINISHED |
| Object | 100 metres |
—
|
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: 100 metres | Statement: [Linford Christie, wonCommonwealthGamesGoldInEvent, 100 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonCommonwealthGamesGoldInEvent Context triple: [Linford Christie, wonCommonwealthGamesGoldInEvent, 100 metres]
-
A.
commonwealthGames
Indicates a relationship where an entity participates in, hosts, or is otherwise associated with the Commonwealth Games multi-sport event.
-
B.
olympicGoldMedalInEvent
Indicates that an entity has won an Olympic gold medal in a specified sporting event.
-
C.
commonwealthGamesGoldMedals
Indicates the number of gold medals an entity has won at the Commonwealth Games.
-
D.
commonwealthGamesSilver
Indicates that an entity won a silver medal at the Commonwealth Games.
-
E.
OlympicMedalEvent
Indicates that an entity represents a specific Olympic Games event in which medals are awarded.
- 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 28, 2026, 4:57 a.m.