Triple
T28550638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Moir |
E722875
|
entity |
| Predicate | OlympicGamesSilverMedalist |
P88111
|
FINISHED |
| Object | 2014 Winter 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: 2014 Winter Olympics | Statement: [Scott Moir, OlympicGamesSilverMedalist, 2014 Winter Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OlympicGamesSilverMedalist Context triple: [Scott Moir, OlympicGamesSilverMedalist, 2014 Winter Olympics]
-
A.
olympicSilverMedals
Indicates that the subject has won one or more silver medals at the Olympic Games.
-
B.
OlympicSilverInEvent
chosen
Indicates that an entity won a silver medal in a specified Olympic event.
-
C.
silverMedalist
Indicates that an entity finished in second place in a competition or event, earning the silver medal.
-
D.
OlympicSilverMedalYear
Indicates the year in which an entity received a silver medal at the Olympic Games.
-
E.
worldChampionshipSilverMedals
Indicates that the subject has won one or more silver medals at a world championship 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 3:42 a.m.