Triple
T28422167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomoyuki Sugano |
E719966
|
entity |
| Predicate | hasPlayedEntireNPBCareerFor |
P180023
|
FINISHED |
| Object | Yomiuri Giants |
—
|
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: Yomiuri Giants | Statement: [Tomoyuki Sugano, hasPlayedEntireNPBCareerFor, Yomiuri Giants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayedEntireNPBCareerFor Context triple: [Tomoyuki Sugano, hasPlayedEntireNPBCareerFor, Yomiuri Giants]
-
A.
spentEntireNflCareerWith
Indicates that an NFL player spent their whole professional NFL career playing for a single team, without ever joining another NFL franchise.
-
B.
playedEntireNHLCareerFor
Indicates that a person spent their entire National Hockey League playing career exclusively with a single team.
-
C.
spentEntireMLBCareerWith
Indicates that a player spent their entire Major League Baseball career with a single team.
-
D.
hasCareerGamesPlayed
Indicates the total number of games an entity has played over the course of its entire career.
-
E.
isFirstSuperBowlAppearanceFor
Indicates that an entity represents a team's or player's first-ever appearance in a Super Bowl game.
- 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_69eff6f1c5088190bc24bfbf92f9c017 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
| PDg | Predicate description generation | batch_69f730890a008190a882f7828f1c9162 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 28, 2026, 1:34 a.m.