Triple
T23284219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven-Card Stud |
E588944
|
entity |
| Predicate | initialCardsDealt |
P114899
|
FINISHED |
| Object | two face-down cards and one face-up card |
—
|
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: two face-down cards and one face-up card | Statement: [Seven-Card Stud, initialCardsDealt, two face-down cards and one face-up card]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialCardsDealt Context triple: [Seven-Card Stud, initialCardsDealt, two face-down cards and one face-up card]
-
A.
numberOfDecks
Indicates the quantity of decks associated with or contained in an entity.
-
B.
hasNumberOfCards
Indicates that an entity is associated with a specific quantity of cards.
-
C.
deckNumber
Indicates the specific deck or floor level associated with an entity within a multi-level structure or vehicle.
-
D.
partiallyRevealedFirst
chosen
Indicates that the first entity has been only partly disclosed, exposed, or made visible in the context of the relationship or event.
-
E.
hasNumberOfHands
Indicates the specific count of hands that an entity possesses.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196454b4c8190a797537ce8912241 |
completed | April 29, 2026, 5:25 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:58 p.m.