Triple
T38435472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goran Ivanisevic |
E903928
|
entity |
| Predicate | entryStatusAt2001Wimbledon |
P190750
|
FINISHED |
| Object | wildcard |
—
|
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: wildcard | Statement: [Goran Ivanisevic, entryStatusAt2001Wimbledon, wildcard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entryStatusAt2001Wimbledon Context triple: [Goran Ivanisevic, entryStatusAt2001Wimbledon, wildcard]
-
A.
statusAtAustralianOpen
Indicates the competitive status or result an entity has at the Australian Open at a given time.
-
B.
wonWimbledonSingles
Indicates that an entity has won the Wimbledon tennis tournament in the singles category.
-
C.
WimbledonSinglesFinals
Indicates that the entities are participants in the singles final match of the Wimbledon tennis tournament.
-
D.
grandSlamBestResultWimbledon
Indicates the best performance or highest round an entity has achieved at the Wimbledon tennis championships.
-
E.
lastWimbledonSinglesTitleYear
Indicates the calendar year in which an entity most recently won a Wimbledon singles title.
- 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_69f76e6a2024819081aa04f4932f89d2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcce7afcd08190906cc3801152656a |
completed | May 7, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69fcccf140ec8190862d53388a5f40d7 |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fcce7a25848190bdc66efcbc7cae3a |
completed | May 7, 2026, 5:40 p.m. |
Created at: May 3, 2026, 4:31 p.m.