Triple
T1502716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA All-Defensive Team |
E33831
|
entity |
| Predicate | originalPositions |
P6869
|
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: [NBA All-Defensive Team, originalPositions, two guards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPositions Context triple: [NBA All-Defensive Team, originalPositions, two guards]
-
A.
originalSeat
Indicates the seat that was initially assigned or occupied before any changes, moves, or reassignments occurred.
-
B.
positionOnReconstruction
Indicates that one entity expresses a stance, opinion, or role regarding the process or policy of reconstruction.
-
C.
originalColors
Indicates that something retains or is associated with its initial, unaltered set of colors.
-
D.
primaryPosition
chosen
Indicates the main role, job, or position an entity holds among potentially multiple positions.
-
E.
relativePosition
Indicates the spatial relationship of one entity’s location with respect to another entity’s position.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90584b8b881908e112c7e59163812 |
completed | March 5, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69a88727ce48819089b482cdc25453d1 |
completed | March 4, 2026, 7:25 p.m. |
Created at: March 4, 2026, 7:24 p.m.