Triple
T2988455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe DiMaggio |
E80686
|
entity |
| Predicate | wasAllStarEverySeasonPlayed |
P44522
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Joe DiMaggio, wasAllStarEverySeasonPlayed, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasAllStarEverySeasonPlayed Context triple: [Joe DiMaggio, wasAllStarEverySeasonPlayed, true]
-
A.
allStarAppearances
Indicates the number of times an entity has been selected to participate in an All-Star event or game.
-
B.
hasAllStarGame
Indicates that an entity has participated in, hosted, or is otherwise associated with an All-Star Game event.
-
C.
hasAllStarSelections
Indicates that an entity (typically an athlete) has been chosen to participate in one or more All-Star events or games.
-
D.
AllStarGameNumber
Indicates the specific sequential number assigned to an All-Star Game within a series or history of such games.
-
E.
allStarSelectionCount
Indicates the number of times an entity has been selected as an All-Star.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c9cdd081908fa8094a3ac1f8d3 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad961403108190bbecb8d3608fd4e0 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f5d28c8190899d90204dc43428 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:59 p.m.