Triple
T20780880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geoffrey Boycott |
E511475
|
entity |
| Predicate | positionInCricket |
P141519
|
FINISHED |
| Object | top-order specialist batsman |
—
|
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: top-order specialist batsman | Statement: [Geoffrey Boycott, positionInCricket, top-order specialist batsman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInCricket Context triple: [Geoffrey Boycott, positionInCricket, top-order specialist batsman]
-
A.
positionInCourt
Indicates the specific role or standing an entity holds within a court setting or judicial proceeding.
-
B.
partOfCricketStructure
Indicates that one entity is a component or constituent part of a larger cricket-related structure or facility.
-
C.
positionInTennis
Indicates the specific role or court location a player occupies during a tennis match or point.
-
D.
positionInBaseball
Indicates the specific defensive role or fielding position that a player occupies on a baseball team.
-
E.
ballLocation
Indicates the spatial position or coordinates where a ball is currently located.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c287b5288190823766fe59402d48 |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:37 p.m.