Triple
T25765006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleveland Browns shoes |
E648857
|
entity |
| Predicate | hasTeamAssociation |
P9671
|
FINISHED |
| Object | Cleveland Browns |
—
|
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: Cleveland Browns | Statement: [Cleveland Browns shoes, hasTeamAssociation, Cleveland Browns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeamAssociation Context triple: [Cleveland Browns shoes, hasTeamAssociation, Cleveland Browns]
-
A.
hasFatherTeamAssociation
Indicates a relationship where an entity is associated with a team through or by virtue of its father’s team affiliation.
-
B.
associatedTeam
chosen
Indicates that one entity is linked or connected to a particular team, typically as its member, owner, or primary affiliation.
-
C.
hasTeamFor
Indicates that an entity possesses, is associated with, or is responsible for a specific team designated for a particular purpose or context.
-
D.
stateAssociationForTeams
Indicates a relationship linking teams to the state with which they are officially associated or based.
-
E.
associatedWithTeamIdentity
Indicates that an entity has a connection or relevance to the identity, branding, or defining characteristics of a particular team.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 22, 2026, 5:09 a.m.