Triple
T278694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LG |
E5305
|
entity |
| Predicate | followsNameOf |
P9013
|
FINISHED |
| Object | recipient of the Order of the Garter |
—
|
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: recipient of the Order of the Garter | Statement: [LG, followsNameOf, recipient of the Order of the Garter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsNameOf Context triple: [LG, followsNameOf, recipient of the Order of the Garter]
-
A.
follows
Indicates that one entity comes after, moves behind, or acts in accordance with another entity in time, space, or sequence.
-
B.
followsRouteOf
Indicates that one entity travels along the same path or route that another entity takes or has taken.
-
C.
nameOf
Indicates that one entity is the name or designation of another entity.
-
D.
namedAfter
Indicates that one entity has been given its name in honor of, or derived from, another entity.
-
E.
isRelatedName
Indicates that one name is connected to another through a variant, derivative, or otherwise non-identical but related naming relationship.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25dee7830819087f153769a8496b9 |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b765f488190b2cbe4b45cd42821 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c4b773c81908f1017f40b0bfd07 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.