Triple
T24260026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1982 MLB All-Star Game |
E604672
|
entity |
| Predicate | runScoredByFirstHomeRun |
P128753
|
FINISHED |
| Object | Dave Concepcion |
—
|
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: Dave Concepcion | Statement: [1982 MLB All-Star Game, runScoredByFirstHomeRun, Dave Concepcion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runScoredByFirstHomeRun Context triple: [1982 MLB All-Star Game, runScoredByFirstHomeRun, Dave Concepcion]
-
A.
nationalLeagueRunsInFirstInning
Indicates the number of runs scored by the National League team in the first inning of a game.
-
B.
inningOfFirstHomeRun
Indicates the specific inning during which an entity (typically a player or team) hits their first home run in a game.
-
C.
battingSideForHomeRuns
Indicates the batting side (e.g., left-handed, right-handed, switch) from which a player hit their home runs.
-
D.
battedRunsScored
chosen
Indicates the number of runs a player scores as a direct result of their own batting actions.
-
E.
firstClassRunsScored
Indicates the number of runs a player has scored in first-class cricket matches.
- 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_69e29544c29c8190b023606eafe5d36a |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6656f08190a8140a54eba7c0ce |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:06 a.m.