Triple
T28551281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Muster |
E722890
|
entity |
| Predicate | ATPClayCourtTitlesLeader |
P164629
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Thomas Muster, ATPClayCourtTitlesLeader, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ATPClayCourtTitlesLeader Context triple: [Thomas Muster, ATPClayCourtTitlesLeader, 1990s]
-
A.
ATPsinglesTitles
Indicates the number of ATP-level singles titles a tennis player has won in professional tournaments.
-
B.
ATPMasters1000TitlesYear
Indicates the number of ATP Masters 1000 tournament titles a player wins in a specific calendar year.
-
C.
ATPMasters1000Titles
Indicates the number of ATP Masters 1000 tournament titles won by a player.
-
D.
australianOpenSinglesTitles
Indicates the number of Australian Open singles titles one entity has won.
-
E.
clayCourtWinningPercentage
Indicates the proportion of matches an entity has won when playing on clay courts.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6504c5e1c8190903e5c4aeac37a30 |
completed | May 2, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 28, 2026, 3:42 a.m.