Triple
T514970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLB All-Star Game |
E10685
|
entity |
| Predicate | mostAppearancesNumber |
P7541
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [MLB All-Star Game, mostAppearancesNumber, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostAppearancesNumber Context triple: [MLB All-Star Game, mostAppearancesNumber, 24]
-
A.
runnerUpConsecutiveAppearances
Indicates that an entity has achieved runner-up status in a competition for a specified number of consecutive appearances or editions.
-
B.
clubAppearances
Indicates the number of official matches a player has played for a particular club.
-
C.
allStarAppearances
chosen
Indicates the number of times an entity has been selected to participate in an All-Star event or game.
-
D.
hasBowlAppearances
Indicates that an entity has participated in one or more bowl game appearances.
-
E.
numberOfFilmsAppearedIn
Indicates the total count of distinct films in which a given entity has appeared.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f232fa688190b08a2fe3f22c7a6e |
completed | Feb. 28, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69a2f013c05481909e6dc87e7b20ebd8 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.