Triple
T218372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Alex Ferguson |
E4157
|
entity |
| Predicate | majorTrophiesWithAberdeen |
P7452
|
FINISHED |
| Object | multiple Scottish league and cup titles |
—
|
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: multiple Scottish league and cup titles | Statement: [Sir Alex Ferguson, majorTrophiesWithAberdeen, multiple Scottish league and cup titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorTrophiesWithAberdeen Context triple: [Sir Alex Ferguson, majorTrophiesWithAberdeen, multiple Scottish league and cup titles]
-
A.
trophy
Indicates that one entity is a trophy awarded or possessed in relation to another entity, typically as a result of winning or achieving something.
-
B.
presidentsTrophies
Indicates that the subject has been awarded one or more Presidents' Trophies.
-
C.
decidesTrophy
Indicates that an entity makes a determination about the awarding or outcome of a trophy.
-
D.
typicalAwardComponents
Indicates the standard elements or parts that commonly make up a particular award.
-
E.
championshipRecognition
chosen
Indicates formal acknowledgment that an entity has won or holds a championship title in a given competition or domain.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c5199d8819096736c11077adec3 |
completed | Feb. 28, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69a25b5357bc8190b29a48e3053fb76d |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.