Triple
T28573286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Panther |
E723167
|
entity |
| Predicate | associatedWithTeamOfBearer |
P180685
|
FINISHED |
| Object | Dynamo Moscow |
—
|
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: Dynamo Moscow | Statement: [Black Panther, associatedWithTeamOfBearer, Dynamo Moscow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTeamOfBearer Context triple: [Black Panther, associatedWithTeamOfBearer, Dynamo Moscow]
-
A.
associatedWithTeamIdentity
Indicates that an entity has a connection or relevance to the identity, branding, or defining characteristics of a particular team.
-
B.
associatedWithTeamMember
Indicates a relationship where an entity has a connection, involvement, or linkage with a specific member of a team.
-
C.
associatedWithTeamInContext
chosen
Indicates that an entity is linked or connected to a specific team within a particular context or situation.
-
D.
associatedTeam
Indicates that one entity is linked or connected to a particular team, typically as its member, owner, or primary affiliation.
-
E.
associatedWithParentTeam
Indicates that an entity is linked or connected to a higher-level or parent team in an organizational or hierarchical structure.
- 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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a018c6b7178819097d5450a1e3c2408 |
completed | May 11, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_6a018a4f741c8190babe721a908e2f5e |
completed | May 11, 2026, 7:50 a.m. |
Created at: April 28, 2026, 4:11 a.m.