Triple
T15223927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Major League Baseball All-Star Game |
E363827
|
entity |
| Predicate | sequenceInAllStarGames |
P117606
|
FINISHED |
| Object | 87 |
—
|
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: 87 | Statement: [2016 Major League Baseball All-Star Game, sequenceInAllStarGames, 87]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequenceInAllStarGames Context triple: [2016 Major League Baseball All-Star Game, sequenceInAllStarGames, 87]
-
A.
wasAllStarEverySeasonPlayed
Indicates that the entity was selected as an All-Star in every season of their playing career.
-
B.
previousAllStarGame
Indicates that one event or instance occurred before another in the context of All-Star Games.
-
C.
allStarGameInnings
Indicates the number of innings played in an All-Star Game.
-
D.
hasAllStarPlayers
Indicates that a team or group includes all of the players designated as all-stars within a given context or set.
-
E.
hasAllStarGame
Indicates that an entity has participated in, hosted, or is otherwise associated with an All-Star Game 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078a9318819081db3b7bcc28e04f |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:12 a.m.