Triple
T31455162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Pascoe |
E802429
|
entity |
| Predicate | hasWonParalympicGoldMedal |
P183840
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sophie Pascoe, hasWonParalympicGoldMedal, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonParalympicGoldMedal Context triple: [Sophie Pascoe, hasWonParalympicGoldMedal, true]
-
A.
hasWonParalympicMedal
Indicates that an entity has earned at least one medal in a Paralympic Games competition.
-
B.
ParalympicGoldMedals
chosen
Indicates that the subject has won one or more gold medals at the Paralympic Games.
-
C.
hasParalympicStatus
Indicates that an entity holds an official classification or recognition related to participation in the Paralympic Games or Paralympic movement.
-
D.
hasParalympicFunction
Indicates that an entity serves a specific role, duty, or function within the context of the Paralympic Games or Paralympic movement.
-
E.
hasWonOlympicMedals
Indicates that the subject has earned one or more medals in Olympic Games 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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd6a1c1c4881908090053bc359b181 |
completed | May 8, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69fd696f24d8819091033afacbdaadc5 |
completed | May 8, 2026, 4:41 a.m. |
Created at: April 30, 2026, 9:15 p.m.