Triple
T2416964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All-NBA Third Team |
E52326
|
entity |
| Predicate | traditionalPositions |
P37794
|
FINISHED |
| Object | two guards |
—
|
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: two guards | Statement: [All-NBA Third Team, traditionalPositions, two guards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalPositions Context triple: [All-NBA Third Team, traditionalPositions, two guards]
-
A.
traditionalStatus
Indicates that one entity holds a customary, long-established, or culturally recognized role, condition, or standing in relation to another entity.
-
B.
traditionalEnd
Indicates that one entity is the customary or historically established conclusion, outcome, or final stage of another entity or process.
-
C.
traditionalOrder
Indicates that entities are arranged or occur according to a customary, historically established sequence or hierarchy.
-
D.
traditionallyOneOf
Indicates that something is customarily or historically considered to belong to a specific set, category, or group.
-
E.
primaryPosition
Indicates the main role, job, or position an entity holds among potentially multiple positions.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc94eafd481909eeff689e5bf5960 |
completed | March 7, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69abc5a6cbd0819086c0716e266b7ebb |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6011e348190b6f9c038c7559289 |
completed | March 7, 2026, 6:30 a.m. |
Created at: March 6, 2026, 9:42 p.m.