Triple
T19304407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knight Grand Commander of the Order of the Indian Empire |
E482784
|
entity |
| Predicate | lastRegularAppointments |
P135195
|
FINISHED |
| Object | mid 20th century |
—
|
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: mid 20th century | Statement: [Knight Grand Commander of the Order of the Indian Empire, lastRegularAppointments, mid 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastRegularAppointments Context triple: [Knight Grand Commander of the Order of the Indian Empire, lastRegularAppointments, mid 20th century]
-
A.
lastAppointments
Indicates that the referenced appointments are the most recent ones associated with a given entity or context.
-
B.
appointmentsInvolve
Indicates that scheduled appointments include or engage specific participants, resources, or activities in the appointment event.
-
C.
noNewAppointmentsSince
Indicates that no additional appointments have been scheduled after a specified point in time.
-
D.
hasAppointmentNature
Indicates that an appointment is characterized by a specific nature or type (e.g., purpose, category, or kind of appointment).
-
E.
appointmentBy
Indicates that one entity is appointed or designated to a role, position, or task by another entity.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604c744908190975c71a28acc96cc |
completed | April 20, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0bc7508190a6f9d56bd4c3404f |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:31 p.m.