Triple
T26957204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mordecai Brown |
E678938
|
entity |
| Predicate | teamDuringWorldSeriesTitles |
P161373
|
FINISHED |
| Object | Chicago Cubs |
—
|
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: Chicago Cubs | Statement: [Mordecai Brown, teamDuringWorldSeriesTitles, Chicago Cubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamDuringWorldSeriesTitles Context triple: [Mordecai Brown, teamDuringWorldSeriesTitles, Chicago Cubs]
-
A.
team2WorldSeriesTitlesContext
Indicates that the second team in context has won a specified number of World Series titles.
-
B.
worldSeriesTitles
Indicates the number of World Series championship titles an entity (typically a baseball team) has won.
-
C.
teamWorldSeriesTitle
Indicates that a team has won a World Series championship title in a given season or year.
-
D.
numberOfWorldSeriesTitles
Indicates the count of World Series championship titles that an entity (typically a baseball team or player) has won.
-
E.
worldSeriesTeams
Indicates a relationship where the specified teams are the ones that competed in a particular World Series event.
- F. None of above. chosen
Provenance (4 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f620e8cf6c8190b9ee7b08d42989dd |
completed | May 2, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 27, 2026, 6:28 a.m.