Triple
T23284236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven-Card Stud |
E588944
|
entity |
| Predicate | skillComponents |
P151691
|
FINISHED |
| Object | memory of exposed cards |
—
|
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: memory of exposed cards | Statement: [Seven-Card Stud, skillComponents, memory of exposed cards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skillComponents Context triple: [Seven-Card Stud, skillComponents, memory of exposed cards]
-
A.
skillType
Indicates the specific category or kind of skill that characterizes or classifies an associated skill-related entity or action.
-
B.
killsAt
Indicates that one entity causes the death of another entity at a specific time or event.
-
C.
skillSet
Indicates that an entity possesses or is associated with a particular collection of skills or competencies.
-
D.
kills
Indicates that one entity causes the death of another entity, ending its life.
-
E.
skillFamily
Indicates that one skill belongs to, or is categorized under, a broader family or group of related skills.
- 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_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. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:58 p.m.