Triple
T24393182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Daneyko |
E614952
|
entity |
| Predicate | retiredJerseyCeremonyDate |
P19047
|
FINISHED |
| Object | 2006-03-24 |
—
|
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: 2006-03-24 | Statement: [Ken Daneyko, retiredJerseyCeremonyDate, 2006-03-24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retiredJerseyCeremonyDate Context triple: [Ken Daneyko, retiredJerseyCeremonyDate, 2006-03-24]
-
A.
dateOfJerseyRetirement
Indicates the date on which a team officially retired an athlete’s jersey number.
-
B.
jerseyNumberRetiredInHisHonor
Indicates that a person’s jersey number has been officially retired by a team or organization as a tribute to that person’s contributions or legacy.
-
C.
hasJerseyNumberRetired
Indicates that an entity has had its jersey number officially retired, typically in recognition of its contributions or achievements.
-
D.
retiredNumberDate
Indicates the date on which an entity’s number (such as a jersey or identifier) was officially retired from further use.
-
E.
jerseyRetirementDate
chosen
Indicates the date on which an athlete’s jersey number is officially retired by a team or organization.
- 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_69e2d7e509b88190a53155d4f3de45ce |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2945a2f6c8190b11a027c446ffe34 |
completed | April 29, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:04 a.m.