Triple
T2053295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mookie Betts |
E45616
|
entity |
| Predicate | teamNumberWithBostonRedSox |
P35602
|
FINISHED |
| Object | 50 |
—
|
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: 50 | Statement: [Mookie Betts, teamNumberWithBostonRedSox, 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamNumberWithBostonRedSox Context triple: [Mookie Betts, teamNumberWithBostonRedSox, 50]
-
A.
teamRecordWithBostonRedSox
Indicates the record or performance outcome of a team in games played against the Boston Red Sox.
-
B.
WorldSeriesTeam
Indicates that a team participated as one of the competing teams in a given World Series.
-
C.
MLBTeam
Indicates a relationship where an entity is identified as a professional baseball team that competes in Major League Baseball.
-
D.
ALCSOpponentOfYankees
Indicates a team that has faced the New York Yankees as their opponent in an American League Championship Series (ALCS) matchup.
-
E.
firstMLBGameTeams
Indicates the teams that participated in a person's first Major League Baseball (MLB) game.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb99196ec819096f491ac7732156a |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7abba508190b872f345d3ba51bb |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb94ec400819097596732aabed854 |
completed | March 7, 2026, 5:36 a.m. |
Created at: March 4, 2026, 7:39 p.m.