Triple
T19059407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St John the Evangelist |
E466485
|
entity |
| Predicate | traditionalOccupationBeforeCalling |
P107616
|
FINISHED |
| Object | fisherman |
—
|
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: fisherman | Statement: [St John the Evangelist, traditionalOccupationBeforeCalling, fisherman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalOccupationBeforeCalling Context triple: [St John the Evangelist, traditionalOccupationBeforeCalling, fisherman]
-
A.
earlierOccupation
Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
-
B.
traditionalOccupations
Indicates that an entity is associated with occupations or jobs that are customary, long-established, or culturally traditional within a particular community or context.
-
C.
hasPastOccupation
chosen
Indicates that an entity previously held a particular job, role, or occupation in the past.
-
D.
professionBeforeMonasticLife
Indicates the occupation or professional role a person held prior to entering monastic life.
-
E.
characterFormerOccupation
Indicates that a character previously held a specific occupation but no longer does.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc08572c8190af2f8bcfe9d1616c |
completed | April 20, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.