Triple
T10815735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lefty Grove |
E255222
|
entity |
| Predicate | careerWinningPercentage |
P40254
|
FINISHED |
| Object | .680 |
—
|
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: .680 | Statement: [Lefty Grove, careerWinningPercentage, .680]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerWinningPercentage Context triple: [Lefty Grove, careerWinningPercentage, .680]
-
A.
allTimeWinningPercentage
chosen
Indicates the proportion of contests or games an entity has won over its entire recorded history, typically expressed as a percentage.
-
B.
careerWinLossRecord
Indicates the overall tally of wins and losses an entity has accumulated over the entire span of its career.
-
C.
championshipWinRate
Indicates the proportion of championships won relative to the total number of championship opportunities or appearances.
-
D.
careerWins
Indicates the total number of wins an individual or entity has accumulated over the course of their entire career.
-
E.
regularSeasonWinningPercentage
Indicates the proportion of games a team or competitor wins during the regular season, expressed as a percentage of total regular-season games played.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733edab248190b2cf7f7bc2684468 |
completed | April 9, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_69d70d1bf3648190b36fa96ea018e0dc |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:18 p.m.