Triple
T9355700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stein Eriksen |
E225132
|
entity |
| Predicate | OlympicSilverInEvent |
P88111
|
FINISHED |
| Object | slalom at the 1952 Winter Olympics |
—
|
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: slalom at the 1952 Winter Olympics | Statement: [Stein Eriksen, OlympicSilverInEvent, slalom at the 1952 Winter Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OlympicSilverInEvent Context triple: [Stein Eriksen, OlympicSilverInEvent, slalom at the 1952 Winter Olympics]
-
A.
OlympicSilverMedalYear
Indicates the year in which an entity received a silver medal at the Olympic Games.
-
B.
olympicSilverMedals
Indicates that the subject has won one or more silver medals at the Olympic Games.
-
C.
olympicGoldMedalInEvent
Indicates that an entity has won an Olympic gold medal in a specified sporting event.
-
D.
worldChampionshipSilverMedals
Indicates that the subject has won one or more silver medals at a world championship competition.
-
E.
OlympicGoldMedalSport
Indicates that the subject sport is one in which the object athlete or team has won an Olympic gold medal.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f99205c8190a5ad95926ef25497 |
completed | April 1, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:42 p.m.