Triple
T16004077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riot |
E388165
|
entity |
| Predicate | hasPublicFigureParents |
P37703
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Riot, hasPublicFigureParents, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicFigureParents Context triple: [Riot, hasPublicFigureParents, true]
-
A.
isChildOfPublicFigure
chosen
Indicates that one person is the offspring or child of another person who is recognized as a public figure.
-
B.
hasPublicFigureFounder
Indicates that an entity was founded by a person who is recognized as a public figure.
-
C.
parentOfCelebrity
Indicates that one entity is the parent of another entity who is a celebrity.
-
D.
hasNotableFamilyMembers
Indicates that an entity is related to one or more family members who are considered notable or significant in some context.
-
E.
hasNotablePersonConnection
Indicates that there exists a significant or noteworthy personal, professional, or historical relationship between the subject and the referenced person.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.