Triple
T21828607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deb Dobkins |
E538924
|
entity |
| Predicate | professionAfterReincarnation |
P145820
|
FINISHED |
| Object | lawyer |
—
|
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: lawyer | Statement: [Deb Dobkins, professionAfterReincarnation, lawyer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionAfterReincarnation Context triple: [Deb Dobkins, professionAfterReincarnation, lawyer]
-
A.
occupationBeforeDeification
Indicates the role, job, or position an entity held prior to being deified or elevated to divine status.
-
B.
professionBeforeJudgmentDay
Indicates that an entity’s profession or occupation is held or practiced prior to Judgment Day.
-
C.
professionBeforeMonasticLife
Indicates the occupation or professional role a person held prior to entering monastic life.
-
D.
laterOccupationInFiction
Indicates that a fictional character holds a particular occupation at a later point in the narrative or timeline, distinct from their earlier roles.
-
E.
associatedAfterlife
Indicates a relationship where an entity is linked to, or characterized by, a particular concept, realm, or state of existence after death.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f091344c848190b1675432a8c255f2 |
completed | April 28, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c670ee608190b9cfdc09de74f0de |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 6:54 p.m.