Triple
T11859802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SpongeBob SquarePants: The Broadway Musical |
E282129
|
entity |
| Predicate | dramaDeskAwardsWinsCount |
P101898
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [SpongeBob SquarePants: The Broadway Musical, dramaDeskAwardsWinsCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dramaDeskAwardsWinsCount Context triple: [SpongeBob SquarePants: The Broadway Musical, dramaDeskAwardsWinsCount, 2]
-
A.
dramaDeskAwardWinCategory
Indicates that an entity has won a Drama Desk Award in a specified award category.
-
B.
numberOfTonyAwards
Indicates the total count of Tony Awards that an entity has received.
-
C.
awardedInTheatre
Indicates that an award or honor was given to someone or something specifically for work or achievement in the field of theatre.
-
D.
tonyNominationsCount
Indicates the number of Tony Award nominations an entity has received.
-
E.
numberOfBroadwayPerformances
Indicates the total count of times a production or performance has been staged on Broadway.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a69a099c8190a674db64c50eca5a |
completed | April 10, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69d8a2573dbc8190ab432e8e28fde6cc |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.