Triple
T10402228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim McMahon |
E245174
|
entity |
| Predicate | retiredFromProfessionalSports |
P64063
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Jim McMahon, retiredFromProfessionalSports, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retiredFromProfessionalSports Context triple: [Jim McMahon, retiredFromProfessionalSports, true]
-
A.
professionalPlayingCareerEnd
Indicates the point in time when an individual's professional playing career comes to an end.
-
B.
hasPlayedProfessionalSports
chosen
Indicates that an entity has participated as an athlete in an officially recognized professional-level sports competition or league.
-
C.
formerAthlete
Indicates that a person previously had the role or status of an athlete but no longer does.
-
D.
clubCareerEnd
Indicates the point in time or event at which an entity’s involvement in a club-level career comes to an end.
-
E.
sportsCareer
Indicates a relationship where an entity’s professional involvement, roles, or achievements in sports are associated with a particular sport, team, period, or competitive level.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e42da08190a5383df3df6d3c18 |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:08 p.m.