Triple
T20391326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Brewster |
E498090
|
entity |
| Predicate | professionBeforeJudgmentDay |
P139940
|
FINISHED |
| Object | veterinarian |
—
|
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: veterinarian | Statement: [Kate Brewster, professionBeforeJudgmentDay, veterinarian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionBeforeJudgmentDay Context triple: [Kate Brewster, professionBeforeJudgmentDay, veterinarian]
-
A.
jurorProfession
Indicates that an individual serves in the professional role or capacity of a juror in a legal proceeding.
-
B.
professionBeforePolitics
Indicates that a person’s occupation or career occurred prior to their involvement in politics.
-
C.
professionBeforeFBI
Indicates that a person held a particular profession or job prior to joining or working for the FBI.
-
D.
professionBeforeMonasticLife
Indicates the occupation or professional role a person held prior to entering monastic life.
-
E.
occupationBeforeDeification
Indicates the role, job, or position an entity held prior to being deified or elevated to divine status.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790f8d9c819093038f6bb6f47a92 |
completed | April 20, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:28 a.m.