Triple
T6800206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 金本知憲 |
E156163
|
entity |
| Predicate | 通算本塁打数 |
P14862
|
FINISHED |
| Object | 476本 |
—
|
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: 476本 | Statement: [金本知憲, 通算本塁打数, 476本]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 通算本塁打数 Context triple: [金本知憲, 通算本塁打数, 476本]
-
A.
homeRuns
chosen
Indicates the number of home runs a player hits, or that a specific home run event occurs, in a baseball context.
-
B.
battedRuns
Indicates that a player scored a specified number of runs while batting in a cricket (or similar bat-and-ball) context.
-
C.
clinchingHomeRunRunsBattedIn
Indicates that a particular home run both clinches a game or series and accounts for specific runs batted in (RBIs) scored by the batter.
-
D.
homeRunRate
Indicates the frequency at which a player or team hits home runs relative to a specified number of opportunities (such as at-bats, plate appearances, or games).
-
E.
onBasePlusSlugging
Indicates a relationship where a player’s offensive performance is quantified by combining their on-base percentage with their slugging percentage into a single metric.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2e457408190a0ad9b0c48d8147c |
completed | March 27, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69c6d099bf08819089a9f9894d037e74 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:15 p.m.