Triple
T32296342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louden Swain |
E825109
|
entity |
| Predicate | athleticGoalDifficulty |
P2406
|
FINISHED |
| Object | nearly impossible |
—
|
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: nearly impossible | Statement: [Louden Swain, athleticGoalDifficulty, nearly impossible]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: athleticGoalDifficulty Context triple: [Louden Swain, athleticGoalDifficulty, nearly impossible]
-
A.
hasAthleticLevel
Indicates the degree or category of athletic ability, fitness, or performance associated with an entity.
-
B.
difficultyDesignGoal
Indicates that a design goal has a certain level or type of difficulty associated with achieving it.
-
C.
experienceGoal
Indicates that an entity has a desired outcome or objective it aims to achieve through its experiences or actions.
-
D.
goalHeight
Indicates the target or desired height that something is intended or planned to reach.
-
E.
difficulty
chosen
Indicates the level of challenge, complexity, or effort required to perform an action, solve a problem, or achieve a particular outcome.
- 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_69f349115304819084ee91d345b6c8aa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bd3be16081909465eb41815bb768 |
completed | May 3, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:44 a.m.