Triple
T16521433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Cousins |
E401326
|
entity |
| Predicate | draftSelectionNumber |
P2211
|
FINISHED |
| Object | No. 21 |
—
|
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: No. 21 | Statement: [Ben Cousins, draftSelectionNumber, No. 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: draftSelectionNumber Context triple: [Ben Cousins, draftSelectionNumber, No. 21]
-
A.
numberOfDraftSelections
Indicates the total count of times an entity has been selected in a draft process or event.
-
B.
typicalNumberOfSelections
Indicates the usual or expected count of selections made in a given choice or selection process.
-
C.
draftPosition
chosen
Indicates the selection order or specific pick at which an entity (such as a player) was chosen in a draft process.
-
D.
selectionSessionNumber
Indicates the specific numbered position or identifier assigned to a selection within a sequence or session of selections.
-
E.
selectionFrom
Indicates that one entity is chosen as a member or subset from a larger set or collection represented by another entity.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e804e388190b684bde2c82ab770 |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.