Triple
T20755217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rob Burrow |
E510826
|
entity |
| Predicate | numberOfAppearancesForLeedsRhinos |
P141372
|
FINISHED |
| Object | 492 |
—
|
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: 492 | Statement: [Rob Burrow, numberOfAppearancesForLeedsRhinos, 492]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAppearancesForLeedsRhinos Context triple: [Rob Burrow, numberOfAppearancesForLeedsRhinos, 492]
-
A.
totalNRLAppearances
Indicates the total number of matches an entity has played in the National Rugby League (NRL).
-
B.
clubAppearancesForSydneyRoosters
Indicates the number of official club matches a player has played for the Sydney Roosters.
-
C.
rugbyLeagueClub
Indicates that one entity is a rugby league club associated with, owned by, or representing the other entity.
-
D.
NRLDebutYear
Indicates the year in which an entity first appeared or debuted in the NRL (National Rugby League).
-
E.
premiershipsNRL
Indicates the number of National Rugby League (NRL) premiership titles an entity has won.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c22e0d288190ba924423af59d70d |
completed | April 21, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
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, 12:34 p.m.