Triple
T24560242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1977 MLB All-Star Game |
E607628
|
entity |
| Predicate | ALStartingShortstopTeam |
P84884
|
FINISHED |
| Object | Texas Rangers |
—
|
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: Texas Rangers | Statement: [1977 MLB All-Star Game, ALStartingShortstopTeam, Texas Rangers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ALStartingShortstopTeam Context triple: [1977 MLB All-Star Game, ALStartingShortstopTeam, Texas Rangers]
-
A.
AmericanLeagueStartingShortstop
chosen
Indicates that the subject is the starting shortstop for a team in Major League Baseball’s American League.
-
B.
NationalLeagueStartingShortstop
Indicates that an entity serves as the starting shortstop for a team in Major League Baseball’s National League.
-
C.
shortstop
Indicates that an entity plays the defensive infield position of shortstop in baseball, typically positioned between second and third base.
-
D.
AllStarTeam
Indicates that an entity has been selected for inclusion on an all-star team, recognizing it as one of the top performers within a league, season, or competition.
-
E.
rookieOfTheYearTeam
Indicates that a person received the Rookie of the Year award while playing for a particular team.
- 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f57a7c8190a0eb8d6d6ef6ae61 |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:28 a.m.