Triple
T13678572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Johns |
E327938
|
entity |
| Predicate | playsRoleAfterRetirement |
P10023
|
FINISHED |
| Object | rugby league commentator |
—
|
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: rugby league commentator | Statement: [Andrew Johns, playsRoleAfterRetirement, rugby league commentator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsRoleAfterRetirement Context triple: [Andrew Johns, playsRoleAfterRetirement, rugby league commentator]
-
A.
roleAfterRetirement
chosen
Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
-
B.
playsInRole
Indicates that an entity performs or appears in a specific role within a production, event, or context.
-
C.
hasPlayedRole
Indicates that an entity has performed or portrayed a particular role or character in some context (such as a film, play, or production).
-
D.
retiredAsPlayerFrom
Indicates that an individual ended their professional playing career while being associated with a specific team, organization, or context.
-
E.
postPlayingRole
Indicates that an entity assumes or holds a particular role after a playing or performance event has taken place.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65d8dc081909664e69bb38610ba |
completed | April 12, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8d8d0881908d6e89954f44eed4 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.