Triple
T1055808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Poppa |
E22797
|
entity |
| Predicate | influencedPerceptionOf |
P22974
|
FINISHED |
| Object | The Notorious B.I.G. as a suave ladies’ man |
—
|
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: The Notorious B.I.G. as a suave ladies’ man | Statement: [Big Poppa, influencedPerceptionOf, The Notorious B.I.G. as a suave ladies’ man]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedPerceptionOf Context triple: [Big Poppa, influencedPerceptionOf, The Notorious B.I.G. as a suave ladies’ man]
-
A.
influenced
Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
-
B.
influencedDiscussionOf
Indicates that one entity had an effect on the way another entity was discussed, framed, or debated.
-
C.
influencedFormationOf
Indicates that one entity played a significant role in shaping, initiating, or contributing to the development or establishment of another entity.
-
D.
influencedByCurrent
Indicates that something’s state, behavior, or outcome is affected or determined by the current conditions, context, or situation.
-
E.
perceptionByReformers
Indicates how something is viewed, interpreted, or judged by individuals or groups advocating for reform.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d9102c819090af78cae50f0ff2 |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b731e25c8190b5ea8466648c2c9a |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7da38888190a118ef20ce4ae9aa |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:42 p.m.