Triple
T7821716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Faber |
E181144
|
entity |
| Predicate | gamesWonIn1917WorldSeries |
P79193
|
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, gamesWonIn1917WorldSeries, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gamesWonIn1917WorldSeries Context triple: [Red Faber, gamesWonIn1917WorldSeries, 3]
-
A.
hits1919WorldSeries
Indicates a relationship where a player records a hit during the 1919 World Series.
-
B.
WorldSeriesChampionYears
Indicates the years in which a given team (or entity) won the World Series championship.
-
C.
WorldSeriesAppearanceNumberForWinner
Indicates the ordinal number of times the winning team has appeared in the World Series up to and including that instance.
-
D.
WorldSeriesChampionships
Indicates the number of World Series championship titles that an entity (typically a baseball team or franchise) has won.
-
E.
playedInWorldSeriesWith
Indicates that two or more players were teammates in at least one World Series.
- 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.