Triple
T25397401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wriddhiman Saha |
E636328
|
entity |
| Predicate | hasScoredCenturyType |
P150176
|
FINISHED |
| Object | IPL century |
—
|
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: IPL century | Statement: [Wriddhiman Saha, hasScoredCenturyType, IPL century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScoredCenturyType Context triple: [Wriddhiman Saha, hasScoredCenturyType, IPL century]
-
A.
hasScoredCenturyAtGround
Indicates that a player has achieved a century (100 or more runs) while batting at a particular ground.
-
B.
scoredCenturyIn
chosen
Indicates that a player scored 100 or more runs (a century) in a particular match, innings, or event.
-
C.
hasScoredDoubleCenturyInODI
Indicates that a player has scored 200 or more runs in a single One Day International (ODI) cricket innings.
-
D.
scored100PointsInAGame
Indicates that an entity achieved a total of 100 points in a single game or match.
-
E.
hasScoredFor
Indicates that one entity has scored points, goals, or similar achievements on behalf of another entity, such as a team, organization, or side.
- 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_69e75db263888190b77fff9e2827b9a2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 21, 2026, 1:50 p.m.