Triple
T18320350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smart Strike |
E438858
|
entity |
| Predicate | yearOfNotableWin |
P31224
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [Smart Strike, yearOfNotableWin, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfNotableWin Context triple: [Smart Strike, yearOfNotableWin, 1996]
-
A.
yearOfWin
chosen
Indicates the specific calendar year in which an entity achieved a particular victory or win.
-
B.
mostWinsYears
Indicates the years during which an entity achieved the highest number of wins compared to others or compared to its own performance in other years.
-
C.
yearOfFame
Indicates the specific year in which an entity achieved fame or became widely recognized.
-
D.
notableSelectionYear
Indicates the year in which an entity was notably selected for a particular role, honor, list, or recognition.
-
E.
notableFirstWinner
Indicates that the subject is the first and notably recognized winner of the object (such as an award, competition, or title).
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa5a3508190a3025e71c11d79e2 |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.