Triple
T28898154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Browny |
E732883
|
entity |
| Predicate | belongsToTeamOrSide |
P180685
|
FINISHED |
| Object | protagonists of Contra: Hard Corps |
—
|
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: protagonists of Contra: Hard Corps | Statement: [Browny, belongsToTeamOrSide, protagonists of Contra: Hard Corps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToTeamOrSide Context triple: [Browny, belongsToTeamOrSide, protagonists of Contra: Hard Corps]
-
A.
hasTeamSide
Indicates that an entity is associated with or belongs to a particular side or faction of a team within a competitive or collaborative context.
-
B.
belongsToPartySide
Indicates that an entity is affiliated with or aligned to a particular side or faction within a party or group.
-
C.
associatedWithParentTeam
Indicates that an entity is linked or connected to a higher-level or parent team in an organizational or hierarchical structure.
-
D.
associatedWithTeamInContext
chosen
Indicates that an entity is linked or connected to a specific team within a particular context or situation.
-
E.
hasPartInTeamLegacy
Indicates that an entity contributes to or is included as a component of a team's enduring history, heritage, or long-term legacy.
- 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: April 28, 2026, 8 a.m.