Triple
T22110124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikandar Raza |
E546389
|
entity |
| Predicate | hasBowlingType |
P65539
|
FINISHED |
| Object | off-spin |
—
|
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: off-spin | Statement: [Sikandar Raza, hasBowlingType, off-spin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBowlingType Context triple: [Sikandar Raza, hasBowlingType, off-spin]
-
A.
hasBowlingBrand
Indicates that one entity is associated with or uses a particular bowling-related brand.
-
B.
bowlingSpecialty
Indicates that one entity has a particular area of skill or expertise in the sport of bowling with respect to another entity or context.
-
C.
associatedWithBowlingStyleOfPerson
chosen
Indicates a relationship where something is linked to or characterized by the specific bowling style used by a person.
-
D.
bowlingStrength
Indicates the degree or effectiveness of one entity’s bowling performance or capability in relation to another.
-
E.
bowlingStrategy
Indicates the specific tactical approach or plan a bowler uses to deliver balls in order to challenge or dismiss a batter.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12948c2ec819083340787b2062649 |
completed | April 28, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:30 p.m.