Triple
T23693487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 23rd World Series |
E585368
|
entity |
| Predicate | mostFamousGame |
P3198
|
FINISHED |
| Object | Game 7 |
—
|
NE NERFINISHED |
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: Game 7 | Statement: [23rd World Series, mostFamousGame, Game 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostFamousGame Context triple: [23rd World Series, mostFamousGame, Game 7]
-
A.
bestSellingGame
Indicates that the related game is the top-selling title within a specified group, category, or time period.
-
B.
notableGame
chosen
Indicates that a particular game is especially significant, prominent, or well-known in relation to the associated entity.
-
C.
topSellingGame
Indicates that the related game is the highest-selling (by units or revenue) within a specified group, category, or time period.
-
D.
topScoringGame
Indicates that the referenced game has the highest score (or total points) among a set of games or within a specified context.
-
E.
notableGameNickname
Indicates that an entity is a well-known or commonly used nickname for a particular game.
- 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_69e249037ce0819088b149608e98f685 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b5c47b80819083f31dbd5443343e |
completed | April 29, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:52 p.m.