Triple
T26930963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Poison |
E678214
|
entity |
| Predicate | leagueLeadingStatistic |
P163896
|
FINISHED |
| Object | National League hits leader 1931 |
—
|
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: National League hits leader 1931 | Statement: [Little Poison, leagueLeadingStatistic, National League hits leader 1931]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueLeadingStatistic Context triple: [Little Poison, leagueLeadingStatistic, National League hits leader 1931]
-
A.
leagueLeadingStatistic
chosen
Indicates that an entity holds the top value in a particular statistical category within a specified league.
-
B.
leagueLeader
Indicates that the subject entity is currently ranked first or holds the top position within a specified league or competitive grouping.
-
C.
leagueLeaderIn
Indicates that an entity is the current top-ranked or leading participant within a specified league or competition.
-
D.
MVPPoints
Indicates the number of points an entity has earned toward a Most Valuable Player (MVP) recognition or award.
-
E.
NBASeasonScoringLeader
Indicates that the subject was the player who scored the most total points in a given NBA season.
- 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_69eeeb4cac908190a45956c2993d1cc2 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 6:12 a.m.