Triple
T12697263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Forsberg |
E303366
|
entity |
| Predicate | retiredFromProfessionalSport |
P88359
|
FINISHED |
| Object | 2011 |
—
|
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: 2011 | Statement: [Peter Forsberg, retiredFromProfessionalSport, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retiredFromProfessionalSport Context triple: [Peter Forsberg, retiredFromProfessionalSport, 2011]
-
A.
retiredAsPlayerFrom
Indicates that an individual ended their professional playing career while being associated with a specific team, organization, or context.
-
B.
professionalPlayingCareerEnd
chosen
Indicates the point in time when an individual's professional playing career comes to an end.
-
C.
retiredFromRacing
Indicates that an entity has permanently stopped participating in competitive racing activities.
-
D.
formerAthlete
Indicates that a person previously had the role or status of an athlete but no longer does.
-
E.
retiredFrom
Indicates that an entity has permanently stopped working for or being active in a specified organization, role, or activity.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d962a32c6481908ddaddae4ea267bf |
completed | April 10, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69d960be63f081908a5ef5ef17a311bf |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:22 p.m.