Triple
T23524642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miikka Kiprusoff |
E574598
|
entity |
| Predicate | hadNumberRetiredBy |
P895
|
FINISHED |
| Object | Calgary Flames |
—
|
NE NERFINISHED |
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: Calgary Flames | Statement: [Miikka Kiprusoff, hadNumberRetiredBy, Calgary Flames]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadNumberRetiredBy Context triple: [Miikka Kiprusoff, hadNumberRetiredBy, Calgary Flames]
-
A.
retiredNumber
chosen
Indicates that an entity (typically a team or organization) has formally withdrawn a specific number from future use, usually to honor a particular individual or achievement associated with that number.
-
B.
retiredNumbersCount
Indicates the number of jersey or identification numbers that have been officially retired from use.
-
C.
retiredNumberDate
Indicates the date on which an entity’s number (such as a jersey or identifier) was officially retired from further use.
-
D.
retiredNumbers
Indicates that a team has officially retired a specific player’s jersey number, taking it out of regular use in honor of that player.
-
E.
retiredBy
Indicates that one entity has formally ended the active status, use, or service of another entity.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1ac72bfb88190b7da3837e66e851c |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:09 p.m.