Triple
T6233840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bronny James |
E139421
|
entity |
| Predicate | jerseyNumberInHighSchool |
P2651
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Bronny James, jerseyNumberInHighSchool, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jerseyNumberInHighSchool Context triple: [Bronny James, jerseyNumberInHighSchool, 0]
-
A.
jerseyNumber
chosen
Indicates the specific uniform number assigned to and worn by an individual, typically in a sports context.
-
B.
jerseyNumberCoached
Indicates that a coach was responsible for coaching a player (or players) who wore a specific jersey number.
-
C.
retiredJerseyCollege
Indicates that a college has formally retired a particular jersey number, typically in honor of a former player or coach associated with that institution.
-
D.
jerseyNumberRules
Indicates rules or constraints governing which jersey numbers may be assigned or used.
-
E.
jerseyNumberStyle
Indicates the visual design or formatting style used for displaying a player’s jersey number.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062efa25c8190a54f5a6f5b5ad24f |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c05601de6481909d0880048fd7b49a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:22 p.m.