Triple
T18362306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Brosius hit two home runs in Game 3 |
E439948
|
entity |
| Predicate | homeRunsHit |
P14862
|
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: [Scott Brosius hit two home runs in Game 3, homeRunsHit, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeRunsHit Context triple: [Scott Brosius hit two home runs in Game 3, homeRunsHit, 2]
-
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.
homeRunsByLeader
Indicates the number of home runs achieved by the leading player or entity in a given context.
-
C.
homeRunsNotedFor
Indicates that an entity is recognized or recorded specifically for its home runs.
-
D.
careerHomeRuns
Indicates the total number of home runs an entity has hit over the entire span of their professional career.
-
E.
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).
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516dd973c8190857c588ab9ad9daf |
completed | April 19, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.