Triple
T29990201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 MLB All-Star Game |
E761851
|
entity |
| Predicate | runsScoredTotal |
P140700
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [2019 MLB All-Star Game, runsScoredTotal, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runsScoredTotal Context triple: [2019 MLB All-Star Game, runsScoredTotal, 7]
-
A.
totalPointsScored
Indicates the total number of points accumulated or scored by an entity over a defined period, event, or context.
-
B.
totalRunsScored
chosen
Indicates the total number of runs that have been scored by a specified entity (such as a player or team) over a defined context or period.
-
C.
touchdownsScored
Indicates the number of touchdowns that an entity has scored.
-
D.
careerRunsScored
Indicates the total number of runs an entity has scored over the entire duration of their playing career.
-
E.
totalTriesScored
Indicates the total number of tries that have been scored in a given context or event.
- 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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6791aa82c8190afb7c808cddbf46a |
completed | May 2, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:38 p.m.