Triple
T31455163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Pascoe |
E802429
|
entity |
| Predicate | hasWonParalympicSilverMedal |
P44415
|
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, hasWonParalympicSilverMedal, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonParalympicSilverMedal Context triple: [Sophie Pascoe, hasWonParalympicSilverMedal, true]
-
A.
hasWonParalympicMedal
chosen
Indicates that an entity has earned at least one medal in a Paralympic Games competition.
-
B.
OlympicSilverInEvent
Indicates that an entity won a silver medal in a specified Olympic event.
-
C.
hasParalympicStatus
Indicates that an entity holds an official classification or recognition related to participation in the Paralympic Games or Paralympic movement.
-
D.
commonwealthGamesSilver
Indicates that an entity won a silver medal at the Commonwealth Games.
-
E.
wonWorldCupSilverMedal
Indicates that an entity achieved second place and received a silver medal in a World Cup 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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
Created at: April 30, 2026, 9:15 p.m.