Triple
T16762920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Nance Sr. |
E407388
|
entity |
| Predicate | ClevelandCavaliersJerseyRetired |
P78159
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Larry Nance Sr., ClevelandCavaliersJerseyRetired, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ClevelandCavaliersJerseyRetired Context triple: [Larry Nance Sr., ClevelandCavaliersJerseyRetired, yes]
-
A.
nbaTeamNumberRetiredBy
Indicates that a specific jersey number has been officially retired by a particular NBA team in honor of a player or significant contribution.
-
B.
CavaliersTenureEnd
Indicates the point in time or event when an entity’s tenure with the Cavaliers organization comes to an end.
-
C.
hasJerseyNumberRetired
chosen
Indicates that an entity has had its jersey number officially retired, typically in recognition of its contributions or achievements.
-
D.
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.
-
E.
CavaliersStarPlayer
Indicates that an entity is the primary or standout player for the Cleveland Cavaliers basketball team.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abee862c819086d9bf01e623a8ce |
completed | April 18, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69e319cbd79c8190a03587a61c18bec0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:21 a.m.