Triple
T1283635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuck Daly |
E27381
|
entity |
| Predicate | jerseyHonor |
P26727
|
FINISHED |
| Object | Detroit Pistons retired his name in the rafters |
—
|
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: Detroit Pistons retired his name in the rafters | Statement: [Chuck Daly, jerseyHonor, Detroit Pistons retired his name in the rafters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jerseyHonor Context triple: [Chuck Daly, jerseyHonor, Detroit Pistons retired his name in the rafters]
-
A.
jersey
Indicates that one entity is the jersey (sports uniform top) associated with, worn by, or representing another entity.
-
B.
jerseySignificance
Indicates the importance, meaning, or symbolic value associated with a particular jersey in a given context.
-
C.
jerseyNumber
Indicates the specific uniform number assigned to and worn by an individual, typically in a sports context.
-
D.
leaderJerseyName
Indicates the name of the jersey worn by the current leader in a competition or ranking.
-
E.
jerseyColorMountainsClassification
Indicates a classification relationship that assigns or associates a jersey color with a specific mountains-related category or ranking.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b599ac819096fca9ada294d939 |
completed | March 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69a4bee276d8819092f71c5a1140bb61 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bf60545c8190901ccfb2cb7c4b41 |
completed | March 1, 2026, 10:36 p.m. |
Created at: March 1, 2026, 7:50 p.m.