Triple
T7821616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Faber |
E181141
|
entity |
| Predicate | completeGamesIn1917WorldSeries |
P79191
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Red Faber, completeGamesIn1917WorldSeries, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: completeGamesIn1917WorldSeries Context triple: [Red Faber, completeGamesIn1917WorldSeries, 3]
-
A.
hits1919WorldSeries
Indicates a relationship where a player records a hit during the 1919 World Series.
-
B.
WorldSeriesGamesLost
Indicates the number of World Series games that a team has lost in a given World Series or across World Series appearances.
-
C.
WorldSeriesGames
Indicates a relationship where a game is identified as one of the games that make up a particular World Series.
-
D.
playedInWorldSeriesWith
Indicates that two or more players were teammates in at least one World Series.
-
E.
firstWorldSeriesChampionship
Indicates that the subject entity won its first World Series championship title in the referenced season or 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa083fe88190a77efb7cfee4bd6f |
completed | March 30, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69cae91ae008819098e56bbe51143b31 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:41 p.m.