Triple
T24202941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Uso |
E600026
|
entity |
| Predicate | hasSiblingTagTeam |
P155169
|
FINISHED |
| Object | The Usos |
—
|
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: The Usos | Statement: [Jimmy Uso, hasSiblingTagTeam, The Usos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSiblingTagTeam Context triple: [Jimmy Uso, hasSiblingTagTeam, The Usos]
-
A.
hasTagTeamDivision
Indicates that an entity participates in or is associated with a tag team division, typically involving teams of multiple members competing together.
-
B.
hasSiblingMascot
Indicates that one mascot is a sibling (e.g., brother or sister) of another mascot.
-
C.
hasSiblingMembers
Indicates that two entities are members of a group or organization and are siblings to each other within that membership context.
-
D.
hasSiblingArtists
Indicates that the entities are siblings who are both artists or involved in artistic professions.
-
E.
hasFictionalSibling
Indicates that one entity is a fictional character who is a sibling of another entity.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca2d6708190ba20d00870d0af49 |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c9834064819082024233d9c6f98f |
completed | April 29, 2026, 9:04 a.m. |
Created at: April 17, 2026, 11:37 p.m.