Triple
T27685482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ledisi Sings Nina |
E698013
|
entity |
| Predicate | hasNotableInfluence |
P17691
|
FINISHED |
| Object | Nina Simone |
—
|
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: Nina Simone | Statement: [Ledisi Sings Nina, hasNotableInfluence, Nina Simone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableInfluence Context triple: [Ledisi Sings Nina, hasNotableInfluence, Nina Simone]
-
A.
hasNotableImpact
chosen
Indicates that one entity exerts a significant or noteworthy influence or effect on another entity or context.
-
B.
hasSignificantInfluenceIn
Indicates that one entity exerts a substantial impact or shaping effect on another entity within a particular domain, context, or outcome.
-
C.
hasPossibleInfluence
Indicates that one entity may have an effect on, contribute to, or shape the state, behavior, or outcome of another entity, without asserting that this influence is definite or direct.
-
D.
hasNotableImpressionOf
Indicates that one entity holds a particularly strong, memorable, or significant impression of another entity.
-
E.
hasExternalInfluence
Indicates that one entity affects or alters another entity due to factors or forces originating outside the affected entity.
- 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_69ef590df8708190af5488f0638e790c |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69feb8e856d48190aa34ad8ee8376e1c |
completed | May 9, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_69feb82a2b6c8190a473cc25976897be |
completed | May 9, 2026, 4:29 a.m. |
Created at: April 27, 2026, 2:49 p.m.