Triple
T1203385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knights Companion of the Order of the Garter |
E25832
|
entity |
| Predicate | typicalAppointees |
P21353
|
FINISHED |
| Object | members of the royal family |
—
|
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: members of the royal family | Statement: [Knights Companion of the Order of the Garter, typicalAppointees, members of the royal family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAppointees Context triple: [Knights Companion of the Order of the Garter, typicalAppointees, members of the royal family]
-
A.
typicalMembers
Indicates that the related entities are representative or characteristic members of a larger group, category, or class.
-
B.
appointmentType
Indicates the specific category or nature of an appointment associated with an entity or event.
-
C.
typicalProvider
Indicates that one entity commonly or characteristically serves as a provider of goods, services, or resources to another entity.
-
D.
professionServed
Indicates that an entity has performed work or provided services in a particular profession or occupational role.
-
E.
eligibleAppointees
chosen
Indicates that certain individuals or entities meet the required criteria to be considered for a particular appointment or position.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdbf94188190991f63a84cc76b8a |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5ed2b88190aab992913957e1cf |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.