Triple
T6736396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Beasley |
E153764
|
entity |
| Predicate | professionalCareerEnd |
P39575
|
FINISHED |
| Object | 1974 |
—
|
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: 1974 | Statement: [John Beasley, professionalCareerEnd, 1974]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalCareerEnd Context triple: [John Beasley, professionalCareerEnd, 1974]
-
A.
collegeCareerEnd
Indicates the point or event at which an individual's college-level athletic or academic career concludes.
-
B.
seniorCareerEnd
chosen
Indicates the point in time or event at which an entity’s senior-level career or professional activity comes to an end.
-
C.
managerialCareerEnd
Indicates the point in time or event at which an individual's managerial career comes to an end.
-
D.
typeOfOccupationEnded
Indicates that a particular type of occupation or job role has come to an end for an entity.
-
E.
laterCareer
Indicates that the associated information or events pertain to a later stage or phase in an entity’s professional life or career trajectory.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d18369d88190a73349075462202b |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d09067a0819087ed6c820f4699f8 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:09 p.m.