Triple
T32595720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ard Schenk |
E833199
|
entity |
| Predicate | OlympicGamesGoldMedalsAt |
P57435
|
FINISHED |
| Object | 1972 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: 1972 Winter Olympics | Statement: [Ard Schenk, OlympicGamesGoldMedalsAt, 1972 Winter Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OlympicGamesGoldMedalsAt Context triple: [Ard Schenk, OlympicGamesGoldMedalsAt, 1972 Winter Olympics]
-
A.
olympicGoldMedals
Indicates that an entity has won one or more Olympic gold medals.
-
B.
athleticsGoldMedals
Indicates that the subject has won one or more gold medals in athletics competitions.
-
C.
olympicGoldWith
Indicates that the related entities won an Olympic gold medal together, typically as teammates in the same event or competition.
-
D.
olympicGoldMedalInEvent
chosen
Indicates that an entity has won an Olympic gold medal in a specified sporting event.
-
E.
totalOlympicGoldMedals
Indicates the total number of Olympic gold medals that an entity has won.
- 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_69f34929ff648190aded9424aa7564ae |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: May 1, 2026, 1:05 a.m.