Triple
T5712653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gooba |
E125944
|
entity |
| Predicate | associatedWithControversy |
P1783
|
FINISHED |
| Object | Tekashi 6ix9ine legal issues |
—
|
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: Tekashi 6ix9ine legal issues | Statement: [Gooba, associatedWithControversy, Tekashi 6ix9ine legal issues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithControversy Context triple: [Gooba, associatedWithControversy, Tekashi 6ix9ine legal issues]
-
A.
roleInControversy
Indicates the specific part, involvement, or function an entity has within a particular controversy or disputed situation.
-
B.
controversialBecause
Indicates that one entity is considered controversial specifically due to, or as a result of, its relationship with or association to another entity.
-
C.
controversyType
Indicates the specific kind or category of controversy associated with an entity or situation.
-
D.
locationOfControversy
Indicates the place or setting where a dispute, debate, or controversy occurs or is centered.
-
E.
controversy
chosen
Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c47f4c81909e6849c3be3e951c |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:46 p.m.