Triple
T19010452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maureen Connolly |
E465207
|
entity |
| Predicate | yearOfGrandSlam |
P134109
|
FINISHED |
| Object | 1953 |
—
|
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: 1953 | Statement: [Maureen Connolly, yearOfGrandSlam, 1953]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfGrandSlam Context triple: [Maureen Connolly, yearOfGrandSlam, 1953]
-
A.
grandSlamSinglesFinalYear
Indicates the year in which a given Grand Slam singles final match took place.
-
B.
bestGrandSlamResultYear
Indicates the year in which an entity achieved its best (highest) Grand Slam tournament result.
-
C.
achievedCareerGrandSlam
Indicates that an individual has won all major titles or championships required within a particular career-defining series or circuit at least once.
-
D.
grandSlam
Indicates achieving a particularly comprehensive or dominant success, often by winning all major components or events within a defined set.
-
E.
helpedWinGrandSlamsWith
Indicates that one entity significantly contributed to another entity’s victories in Grand Slam tournaments.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a8225c81908e80ae7eb1c1301b |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 12:02 p.m.