Triple
T21742654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buddy the Dog |
E536699
|
entity |
| Predicate | hasSkillInFiction |
P145196
|
FINISHED |
| Object | playing basketball |
—
|
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: playing basketball | Statement: [Buddy the Dog, hasSkillInFiction, playing basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkillInFiction Context triple: [Buddy the Dog, hasSkillInFiction, playing basketball]
-
A.
hasFeatureInFiction
Indicates that a fictional work includes or portrays a particular feature, trait, or characteristic.
-
B.
hasRankInFiction
Indicates that a fictional character or entity holds a specific rank, title, or hierarchical position within a fictional context or universe.
-
C.
hasEventInFiction
Indicates that a fictional work includes or depicts a particular event within its narrative.
-
D.
hasPlaceInFiction
Indicates that a fictional work or element is associated with, set in, or takes place within a particular fictional location or setting.
-
E.
hasGenreInFiction
Indicates that a work of fiction belongs to or is categorized under a specific literary genre.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a7322348190b2145fa922c480ed |
completed | April 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69f3ed4408190a4a78410bf660c44 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 6:49 p.m.