Triple
T9353799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RJ Barrett |
E225082
|
entity |
| Predicate | teamNumberWithNewYorkKnicks |
P88101
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [RJ Barrett, teamNumberWithNewYorkKnicks, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamNumberWithNewYorkKnicks Context triple: [RJ Barrett, teamNumberWithNewYorkKnicks, 9]
-
A.
knicksDivision
Indicates that the subject entity is the NBA division in which the New York Knicks compete.
-
B.
NBAteam
Indicates that one entity is a professional basketball team that competes in the National Basketball Association (NBA) and the other entity is associated with it in that team role.
-
C.
teamNumberWithBostonRedSox
Indicates that an entity has a team number specifically associated with the Boston Red Sox.
-
D.
allNBATeam
Indicates that an entity (typically a player) has been selected to an All-NBA Team for a given season or time period.
-
E.
retiredJerseyNumberByTeam
Indicates that a sports team has officially retired a specific jersey number in honor of a player or figure, making it unavailable for future use by team members.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f96c9a8819091bf63909bdcdf91 |
completed | April 1, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:42 p.m.