Triple
T21756125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1963 All-Star Game |
E537043
|
entity |
| Predicate | gameNumberInYear |
P85405
|
FINISHED |
| Object | second All-Star Game of 1963 |
—
|
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: second All-Star Game of 1963 | Statement: [1963 All-Star Game, gameNumberInYear, second All-Star Game of 1963]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameNumberInYear Context triple: [1963 All-Star Game, gameNumberInYear, second All-Star Game of 1963]
-
A.
seasonNumberInYear
Indicates the specific ordinal position of a season within a given year.
-
B.
gameNumberInHistory
chosen
Indicates the position or sequence number of a particular game within a larger historical series or record of games.
-
C.
playedLastGameInYear
Indicates that an entity participated in its most recent game or match during a specified calendar year.
-
D.
firstAllNightGamesYear
Indicates the year in which an entity first participated in or hosted all-night games.
-
E.
numberOfGamesAfter2020
Indicates the count of games that occurred after the year 2020.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8ea04c8190a8c4fa43b3f23935 |
completed | April 28, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69e6969e46088190b13d6e9025775ea3 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:50 p.m.