Triple
T3214459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whiz Kids |
E67356
|
entity |
| Predicate | WorldSeriesFormat |
P46251
|
FINISHED |
| Object | best-of-seven |
—
|
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: best-of-seven | Statement: [Whiz Kids, WorldSeriesFormat, best-of-seven]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldSeriesFormat Context triple: [Whiz Kids, WorldSeriesFormat, best-of-seven]
-
A.
NLCSFormat
Indicates that an entity uses or is associated with the National League Championship Series (NLCS) competition format or structure.
-
B.
WorldSeriesChampionships
Indicates the number of World Series championship titles that an entity (typically a baseball team or franchise) has won.
-
C.
firstWorldSeriesChampionship
Indicates that the subject entity won its first World Series championship title in the referenced season or event.
-
D.
resultingWorldSeries
Indicates the specific World Series event or outcome that results from a given preceding condition, season, or set of circumstances.
-
E.
WorldSeriesAppearanceNumberForWinner
Indicates the ordinal number of times the winning team has appeared in the World Series up to and including that instance.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaabd01d48190be0dc610b9987a25 |
completed | March 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69ad9e09b83881908801d79c3d9254f9 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f9259c8190afbc5ad0fa55436b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:07 p.m.