Triple
T24967330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Feigl |
E624783
|
entity |
| Predicate | grandSlamBestResultSinglesYear |
P117096
|
FINISHED |
| Object | 1978 |
—
|
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: 1978 | Statement: [Peter Feigl, grandSlamBestResultSinglesYear, 1978]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandSlamBestResultSinglesYear Context triple: [Peter Feigl, grandSlamBestResultSinglesYear, 1978]
-
A.
bestGrandSlamResultYear
chosen
Indicates the year in which an entity achieved its best (highest) Grand Slam tournament result.
-
B.
grandSlamSinglesFinalYear
Indicates the year in which a given Grand Slam singles final match took place.
-
C.
grandSlamSinglesFinalResult
Indicates the outcome of a Grand Slam tennis singles final match between competitors, typically specifying the winner, loser, and possibly the score.
-
D.
yearOfGrandSlam
Indicates the specific year in which a particular Grand Slam event or achievement took place.
-
E.
grandSlamBestResultAustralianOpen
Indicates the best performance or highest round an entity has achieved specifically at the Australian Open in Grand Slam 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4490283c481908c18246dc7125eec |
completed | May 1, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6 a.m.