Triple
T159854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Zimmerman |
E3258
|
entity |
| Predicate | draftOverallPick |
P2211
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Ryan Zimmerman, draftOverallPick, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: draftOverallPick Context triple: [Ryan Zimmerman, draftOverallPick, 4]
-
A.
draftRound
Indicates the specific round in which an entity was selected during a drafting or selection process.
-
B.
draftLeague
Indicates a relationship where an entity participates in or is associated with a sports or fantasy draft that is organized within a specific league.
-
C.
draftedIn
Indicates that one entity was selected or recruited into another entity (such as a team, organization, or military service) through a formal draft process.
-
D.
draftPosition
chosen
Indicates the selection order or specific pick at which an entity (such as a player) was chosen in a draft process.
-
E.
draft
Indicates that one entity prepares an initial or preliminary version of something, typically a document, plan, or design, which may be revised later.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25855baf48190a1b63f2e5865d957 |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a25660c2a48190b4174d5e6da3cb9d |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.