Triple
T1728956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Edwards |
E37564
|
entity |
| Predicate | resumedOccupation |
P31243
|
FINISHED |
| Object | trial lawyer after politics |
—
|
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: trial lawyer after politics | Statement: [John Edwards, resumedOccupation, trial lawyer after politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resumedOccupation Context triple: [John Edwards, resumedOccupation, trial lawyer after politics]
-
A.
earlierOccupation
Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
-
B.
hadOccupationStatusUntil
Indicates that an entity held a particular occupational status up to, but not necessarily beyond, a specified point in time.
-
C.
typeOfOccupationEnded
Indicates that a particular type of occupation or job role has come to an end for an entity.
-
D.
subjectOccupation
Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
-
E.
careerStatus
Indicates the current stage, position, or condition of an entity within its professional or occupational life.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aadb7bda1081908f2c41c520c9c55c |
completed | March 6, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69aa61c0a0288190bce9d60062a84b69 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aadb68868c819097ec6db6194abae6 |
completed | March 6, 2026, 1:49 p.m. |
Created at: March 4, 2026, 7:30 p.m.