Triple
T25662329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Cigarette Smoking (In My Room) |
E643417
|
entity |
| Predicate | familyConnectionOfArtists |
P89441
|
FINISHED |
| Object | sons of Bob Marley |
—
|
NE NERFINISHED |
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: sons of Bob Marley | Statement: [No Cigarette Smoking (In My Room), familyConnectionOfArtists, sons of Bob Marley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familyConnectionOfArtists Context triple: [No Cigarette Smoking (In My Room), familyConnectionOfArtists, sons of Bob Marley]
-
A.
parentOfArtist
Indicates that one entity is the parent (biological, adoptive, or legal) of another entity who is an artist.
-
B.
familyConnectionTo
chosen
Indicates a familial relationship or bond that exists between two entities, such as by blood, marriage, or adoption.
-
C.
subjectRelationToArtist
Indicates the nature of the relationship or connection that the subject has to the artist.
-
D.
playerRelations
Indicates the nature or status of the relationship between players, such as alliances, rivalries, or other interpersonal dynamics.
-
E.
familyAssociationOfAuthor
Indicates that one entity is a family member or relative associated with the author entity.
- 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_69e77e7e45648190a068ed3faa8016ea |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 21, 2026, 6:56 p.m.