Triple
T31453559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace Prendergast |
E802387
|
entity |
| Predicate | eventOfSilverMedal |
P88111
|
FINISHED |
| Object | women's eight at the 2020 Summer 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: women's eight at the 2020 Summer Olympics | Statement: [Grace Prendergast, eventOfSilverMedal, women's eight at the 2020 Summer Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventOfSilverMedal Context triple: [Grace Prendergast, eventOfSilverMedal, women's eight at the 2020 Summer Olympics]
-
A.
OlympicSilverInEvent
chosen
Indicates that an entity won a silver medal in a specified Olympic event.
-
B.
worldChampionshipSilverMedals
Indicates that the subject has won one or more silver medals at a world championship competition.
-
C.
silverMedalist
Indicates that an entity finished in second place in a competition or event, earning the silver medal.
-
D.
olympicSilverMedals
Indicates that the subject has won one or more silver medals at the Olympic Games.
-
E.
olympicBronzeEvent
Indicates that an entity won a bronze medal in a specified Olympic event.
- 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_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 30, 2026, 9:15 p.m.