Triple
T6611824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Redgrave |
E149253
|
entity |
| Predicate | wasKnightedIn |
P12114
|
FINISHED |
| Object | 2001 |
—
|
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: 2001 | Statement: [Steve Redgrave, wasKnightedIn, 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasKnightedIn Context triple: [Steve Redgrave, wasKnightedIn, 2001]
-
A.
confersKnighthood
Indicates that one entity formally grants the status or title of knighthood to another entity.
-
B.
isOrderOfKnighthood
Indicates that an entity is a formal chivalric or knightly order to which individuals can be admitted.
-
C.
dateOfKnighthood
chosen
Indicates the specific date on which an individual was formally granted knighthood.
-
D.
isOldestRankOfKnighthoodIn
Indicates that a particular rank of knighthood is the most senior or highest-ranking within a specified order, system, or jurisdiction.
-
E.
isOneOfHighestHonoursOf
Indicates that something ranks among the most prestigious or esteemed honors within a particular field, context, or system.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:57 p.m.