Triple
T20743620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Fairfax |
E510506
|
entity |
| Predicate | expectedOccupation |
P135903
|
FINISHED |
| Object | governess |
—
|
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: governess | Statement: [Jane Fairfax, expectedOccupation, governess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expectedOccupation Context triple: [Jane Fairfax, expectedOccupation, governess]
-
A.
approximateOccupation
chosen
Indicates that one entity is inferred or estimated to be the occupation or job role of another entity, rather than being known with certainty.
-
B.
allowedOccupationOf
Indicates that one entity is permitted or authorized to hold or perform the occupation associated with another entity.
-
C.
occupiedUntil
Indicates that an entity remains in use or unavailable up to a specified end time.
-
D.
endedOccupationOf
Indicates that one entity brought another entity’s occupation or control of a place or position to an end.
-
E.
occupancyRequirement
Indicates that a condition specifies how many or which entities must be present in or using a particular space or resource.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c210a2c08190bd767df3188bb401 |
completed | April 21, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:33 p.m.