Triple
T34705409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Casey |
E1000488
|
entity |
| Predicate | numberOfTimesAllStar |
—
|
GENERATED |
| Object | 3 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesAllStar Context triple: [Sean Casey, numberOfTimesAllStar, 3]
-
A.
numberOfStarPoints
Indicates the count of distinct star-shaped points or vertices associated with an entity.
-
B.
numberOfStarCharts
Indicates the quantity of star charts associated with or possessed by an entity.
-
C.
numberOfStarsInConstellation
Indicates the numerical count of stars that belong to a given constellation.
-
D.
numberOfKnownPlays
Indicates the total count of plays that are known to be associated with a given entity (such as an author, theater, or period).
-
E.
numberOfPlays
Indicates the total count of times an item, such as a track or media asset, has been played.
- F. None of above. chosen
Provenance (1 batch)
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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
Created at: May 3, 2026, 3:59 p.m.