Triple
T35808438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boss 'n' Hug Connection |
E1035162
|
entity |
| Predicate | relationshipWithMembers |
P206061
|
FINISHED |
| Object | portrayed as best friends |
—
|
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: portrayed as best friends | Statement: [The Boss 'n' Hug Connection, relationshipWithMembers, portrayed as best friends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithMembers Context triple: [The Boss 'n' Hug Connection, relationshipWithMembers, portrayed as best friends]
-
A.
relationshipToUser
Indicates the type of connection or association an entity has with the current user.
-
B.
addressesRelationship
Indicates that one entity directs communication, remarks, or attention specifically toward another entity.
-
C.
relationshipToParents
Indicates the type or nature of a person's familial relationship to their parents.
-
D.
familyAssociationWith
Indicates a familial relationship or connection exists between the referenced entities.
-
E.
relationshipToBond
Indicates the specific type of personal, familial, or professional relationship an entity has to the person named Bond.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037ce53de881908cf14141cf3bc570 |
completed | May 12, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:06 p.m.