Triple
T344596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Matt Busby |
E6910
|
entity |
| Predicate | dateOfKnighthood |
P12114
|
FINISHED |
| Object | 1968 |
—
|
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: 1968 | Statement: [Sir Matt Busby, dateOfKnighthood, 1968]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfKnighthood Context triple: [Sir Matt Busby, dateOfKnighthood, 1968]
-
A.
dateOfElevationToPeerage
Indicates the specific date on which an individual was formally elevated to a rank of nobility or peerage.
-
B.
confersKnighthood
Indicates that one entity formally grants the status or title of knighthood to another entity.
-
C.
coronationDate
Indicates the date on which an individual is formally crowned or installed into a royal or equivalent sovereign position.
-
D.
isOrderOfKnighthood
Indicates that an entity is a formal chivalric or knightly order to which individuals can be admitted.
-
E.
isOldestRankOfKnighthoodIn
Indicates that a particular rank of knighthood is the most senior or highest-ranking within a specified order, system, or jurisdiction.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb01261c81909280128b5ce75eff |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e9530c98819085025efe4e04aa7e |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea0a4c448190a8a179daa9b90645 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.