Triple
T3133065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hank Aaron |
E65460
|
entity |
| Predicate | battingTitleSeasons |
P17266
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Hank Aaron, battingTitleSeasons, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: battingTitleSeasons Context triple: [Hank Aaron, battingTitleSeasons, 2]
-
A.
battingTitleWins
chosen
Indicates the number of times a player has won a batting title in a given league or competition.
-
B.
battedTitleLeague
Indicates that an entity held a batting title in a specified league.
-
C.
battedOver300Seasons
Indicates that a player achieved a batting average over .300 in one or more seasons.
-
D.
battedTitle
Indicates that one entity served as the title or headline for another entity in a way that was prominently featured or “batted” (highlighted) in a media or publication context.
-
E.
battingAverage
Indicates the statistical relationship between a batter’s number of hits and official at-bats, expressing how often they successfully get a hit.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada56104ec8190a14591ed73f3fe83 |
completed | March 8, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69ad9df840088190a26a1516f4c1f056 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:04 p.m.